View valDallalba's full-sized avatar
5 followers · 3 following

Block or report valDallalba

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Content in all repositories owned by your account will be closed.
Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
valDallalba/README.md

👋 Hello, I'm Valentin !

I'm a Data analyst with strong experience in Python, data modeling and analytical workflows.
I build data-driven solutions to explore, model and interpret complex datasets across various domains.

I hold a PhD in Science, during which I developed numerous methodologies for data analysis, 3D and temporal interpolation, uncertainty estimation, and geostatistical approaches. I published several scientific papers and presented my work at international conferences.

Since then, I have worked in a private engineering company, where I continue to develop data-driven solutions and client-oriented approaches, while strengthening my project management skills.

🔧 Core skills

  • Programming & Data: Python (Pandas, NumPy, SciPy), SQL
  • Data analysis: exploratory analysis, time series, statistical modeling, ML
  • Data processing: data cleaning, pipelines, reproducible workflows
  • Visualization: Dashboard creation, Streamlit, Matplotlib, Seaborn, Plotly, Tableau
  • Tools: Git, Jupyter, Linux

🎯 Interests

  • Data analytics & decision support
  • Applied data science
  • Quantitative analysis in various sectors (finance, energy, consulting, tech)

Selected Projects - Val Dallalba

Time Series Analysis & Modeling

Analyzed and modeled time series to detect trends and return time event for environnemental risk estimation. Skills: Python, statsmodels, visualization, modeling Impact: Identified patterns and future scenarios from real or simulated data. → repo

Geospatial & Hydro-Environmental Modeling

Analyzed and modeled spatial data to understand geographic structures and relationships. Skills: Python, geostatistics, Multipoint simulation, Hydrogeological modeling, stochastic simulations, Uncertainty quantification, 3D modeling Impact: Built spatial models and estimated continuous variables using geostatistical methods. → repo

Glacial & Basal Rock Estimation

Applied advanced geostatistical methods to estimate glacial volumes and rock structures. Skills: Multipoint simulation, Python, stochastic simulations, models comparaison Impact: Created realistic 3D models and extracted geological insights from heterogeneous data. → repo

Environmental Data prediction

Performed numerical simulation and uncertainty quantification around tunnel karst flow estimation for real engineering decision-making project. Skills: Python, data cleaning, time series analysis Impact: Improved reliability and quality of field-collected data. → repo

Physical Modeling & Risk Estimation

Simulated travel times of rockfalls in complex topography. Skills: Python, numerical methods, fast marching algorithm Impact: Developed robust physical models for risk assessment and hazard evaluation. → repo

--

📫 Contact and information

Popular repositories Loading

  1. Tsanfleuron_geostatistical_baserock_estimation_paper Tsanfleuron_geostatistical_baserock_estimation_paperPublic

    Glacial volume estimation using MPS for the Tsanfleuron glacier (geostatistics, stochastic modeling & Python)

    Jupyter Notebook 1

  2. Rockfall_Travel_Time_Fast_Marching_Method Rockfall_Travel_Time_Fast_Marching_MethodPublic

    Numerical simulation & risk modeling using physics-based algorithms (Python)

    Jupyter Notebook

  3. HydroPiezo_return_analysis HydroPiezo_return_analysisPublic

    Time series analysis for predictive hydrogeological return time prediction & risk modeling (Python)

    Jupyter Notebook

  4. Tunnel_karstic_inflow_estimation Tunnel_karstic_inflow_estimationPublic

    Numerical modeling and predective modeling with uncertainty quantification for engineering decision-making projet in karstic environnement (Python)

    Jupyter Notebook

  5. valDallalba valDallalbaPublic

  6. MPS_stochastic_Roussillon MPS_stochastic_RoussillonPublic

    Multiple-Point-Stochastic Simulations of the Roussillon hydrogeological model (geostatistics)

    Jupyter Notebook

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all 
 blocks\n(function() {\n function addCopyButtons() {\n document.querySelectorAll('pre code').forEach(function(codeBlock) {\n if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;\n codeBlock.parentElement.setAttribute('data-copy-added', 'true');\n \n var btn = document.createElement('button');\n btn.textContent = 'Copy';\n btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';\n btn.onmouseover = function() { this.style.opacity = '1'; };\n btn.onmouseout = function() { this.style.opacity = '0.7'; };\n btn.onclick = function() {\n navigator.clipboard.writeText(codeBlock.textContent).then(function() {\n btn.textContent = 'Copied!';\n setTimeout(function() { btn.textContent = 'Copy'; }, 1500);\n });\n };\n codeBlock.parentElement.style.position = 'relative';\n codeBlock.parentElement.appendChild(btn);\n });\n }\n \n addCopyButtons();\n \n // Re-run on dynamic content\n var observer = new MutationObserver(addCopyButtons);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Add Copy Buttons to Code Blocks");
}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '

Skip to content
View valDallalba's full-sized avatar
5
followers
 · 3
following


Block or report valDallalba

Block user

Prevent this user from interacting with your repositories and sending you notifications.
Learn more about blocking users.


You must be logged in to block users.


Content in all repositories owned by your account will be closed.


Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.

Report abuse

Contact GitHub support about this user’s behavior.
Learn more about reporting abuse.

Report abuse
valDallalba/README.md
👋 Hello, I'm Valentin !
I'm a Data analyst with strong experience in Python, data modeling and analytical workflows.

I build data-driven solutions to explore, model and interpret complex datasets across various domains.
I hold a PhD in Science, during which I developed numerous methodologies for data analysis, 3D and temporal interpolation, uncertainty estimation, and geostatistical approaches. I published several scientific papers and presented my work at international conferences.
Since then, I have worked in a private engineering company, where I continue to develop data-driven solutions and client-oriented approaches, while strengthening my project management skills.
🔧 Core skills
  • Programming & Data: Python (Pandas, NumPy, SciPy), SQL
  • Data analysis: exploratory analysis, time series, statistical modeling, ML
  • Data processing: data cleaning, pipelines, reproducible workflows
  • Visualization: Dashboard creation, Streamlit, Matplotlib, Seaborn, Plotly, Tableau
  • Tools: Git, Jupyter, Linux
🎯 Interests
  • Data analytics & decision support
  • Applied data science
  • Quantitative analysis in various sectors (finance, energy, consulting, tech)
Selected Projects - Val Dallalba
Time Series Analysis & Modeling
Analyzed and modeled time series to detect trends and return time event for environnemental risk estimation.
Skills: Python, statsmodels, visualization, modeling
Impact: Identified patterns and future scenarios from real or simulated data.
→ repo
Geospatial & Hydro-Environmental Modeling
Analyzed and modeled spatial data to understand geographic structures and relationships.
Skills: Python, geostatistics, Multipoint simulation, Hydrogeological modeling, stochastic simulations, Uncertainty quantification, 3D modeling
Impact: Built spatial models and estimated continuous variables using geostatistical methods.
→ repo
Glacial & Basal Rock Estimation
Applied advanced geostatistical methods to estimate glacial volumes and rock structures.
Skills: Multipoint simulation, Python, stochastic simulations, models comparaison
Impact: Created realistic 3D models and extracted geological insights from heterogeneous data.
→ repo
Environmental Data prediction
Performed numerical simulation and uncertainty quantification around tunnel karst flow estimation for real engineering decision-making project.
Skills: Python, data cleaning, time series analysis
Impact: Improved reliability and quality of field-collected data.
→ repo
Physical Modeling & Risk Estimation
Simulated travel times of rockfalls in complex topography.
Skills: Python, numerical methods, fast marching algorithm
Impact: Developed robust physical models for risk assessment and hazard evaluation.
→ repo
--
📫 Contact and information

Popular repositories
Loading
  1. 
Tsanfleuron_geostatistical_baserock_estimation_paper
Tsanfleuron_geostatistical_baserock_estimation_paperPublic
    
Glacial volume estimation using MPS for the Tsanfleuron glacier (geostatistics, stochastic modeling & Python)

    Jupyter Notebook
1

  2. 
Rockfall_Travel_Time_Fast_Marching_Method
Rockfall_Travel_Time_Fast_Marching_MethodPublic
    
Numerical simulation & risk modeling using physics-based algorithms (Python)

    Jupyter Notebook
  3. 
HydroPiezo_return_analysis
HydroPiezo_return_analysisPublic
    
Time series analysis for predictive hydrogeological return time prediction & risk modeling (Python)

    Jupyter Notebook
  4. 
Tunnel_karstic_inflow_estimation
Tunnel_karstic_inflow_estimationPublic
    
Numerical modeling and predective modeling with uncertainty quantification for engineering decision-making projet in karstic environnement (Python)

    Jupyter Notebook
  5. 
valDallalba
valDallalbaPublic
  6. 
MPS_stochastic_Roussillon
MPS_stochastic_RoussillonPublic
    
Multiple-Point-Stochastic Simulations of the Roussillon hydrogeological model (geostatistics)

    Jupyter Notebook

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix");
}
} catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
View valDallalba's full-sized avatar
5
followers
 · 3
following


Block or report valDallalba

Block user

Prevent this user from interacting with your repositories and sending you notifications.
Learn more about blocking users.


You must be logged in to block users.


Content in all repositories owned by your account will be closed.


Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.

Report abuse

Contact GitHub support about this user’s behavior.
Learn more about reporting abuse.

Report abuse
valDallalba/README.md
👋 Hello, I'm Valentin !
I'm a Data analyst with strong experience in Python, data modeling and analytical workflows.

I build data-driven solutions to explore, model and interpret complex datasets across various domains.
I hold a PhD in Science, during which I developed numerous methodologies for data analysis, 3D and temporal interpolation, uncertainty estimation, and geostatistical approaches. I published several scientific papers and presented my work at international conferences.
Since then, I have worked in a private engineering company, where I continue to develop data-driven solutions and client-oriented approaches, while strengthening my project management skills.
🔧 Core skills
  • Programming & Data: Python (Pandas, NumPy, SciPy), SQL
  • Data analysis: exploratory analysis, time series, statistical modeling, ML
  • Data processing: data cleaning, pipelines, reproducible workflows
  • Visualization: Dashboard creation, Streamlit, Matplotlib, Seaborn, Plotly, Tableau
  • Tools: Git, Jupyter, Linux
🎯 Interests
  • Data analytics & decision support
  • Applied data science
  • Quantitative analysis in various sectors (finance, energy, consulting, tech)
Selected Projects - Val Dallalba
Time Series Analysis & Modeling
Analyzed and modeled time series to detect trends and return time event for environnemental risk estimation.
Skills: Python, statsmodels, visualization, modeling
Impact: Identified patterns and future scenarios from real or simulated data.
→ repo
Geospatial & Hydro-Environmental Modeling
Analyzed and modeled spatial data to understand geographic structures and relationships.
Skills: Python, geostatistics, Multipoint simulation, Hydrogeological modeling, stochastic simulations, Uncertainty quantification, 3D modeling
Impact: Built spatial models and estimated continuous variables using geostatistical methods.
→ repo
Glacial & Basal Rock Estimation
Applied advanced geostatistical methods to estimate glacial volumes and rock structures.
Skills: Multipoint simulation, Python, stochastic simulations, models comparaison
Impact: Created realistic 3D models and extracted geological insights from heterogeneous data.
→ repo
Environmental Data prediction
Performed numerical simulation and uncertainty quantification around tunnel karst flow estimation for real engineering decision-making project.
Skills: Python, data cleaning, time series analysis
Impact: Improved reliability and quality of field-collected data.
→ repo
Physical Modeling & Risk Estimation
Simulated travel times of rockfalls in complex topography.
Skills: Python, numerical methods, fast marching algorithm
Impact: Developed robust physical models for risk assessment and hazard evaluation.
→ repo
--
📫 Contact and information

Popular repositories
Loading
  1. 
Tsanfleuron_geostatistical_baserock_estimation_paper
Tsanfleuron_geostatistical_baserock_estimation_paperPublic
    
Glacial volume estimation using MPS for the Tsanfleuron glacier (geostatistics, stochastic modeling & Python)

    Jupyter Notebook
1

  2. 
Rockfall_Travel_Time_Fast_Marching_Method
Rockfall_Travel_Time_Fast_Marching_MethodPublic
    
Numerical simulation & risk modeling using physics-based algorithms (Python)

    Jupyter Notebook
  3. 
HydroPiezo_return_analysis
HydroPiezo_return_analysisPublic
    
Time series analysis for predictive hydrogeological return time prediction & risk modeling (Python)

    Jupyter Notebook
  4. 
Tunnel_karstic_inflow_estimation
Tunnel_karstic_inflow_estimationPublic
    
Numerical modeling and predective modeling with uncertainty quantification for engineering decision-making projet in karstic environnement (Python)

    Jupyter Notebook
  5. 
valDallalba
valDallalbaPublic
  6. 
MPS_stochastic_Roussillon
MPS_stochastic_RoussillonPublic
    
Multiple-Point-Stochastic Simulations of the Roussillon hydrogeological model (geostatistics)

    Jupyter Notebook

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms");
}
} catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
View valDallalba's full-sized avatar
5
followers
 · 3
following


Block or report valDallalba

Block user

Prevent this user from interacting with your repositories and sending you notifications.
Learn more about blocking users.


You must be logged in to block users.


Content in all repositories owned by your account will be closed.


Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.

Report abuse

Contact GitHub support about this user’s behavior.
Learn more about reporting abuse.

Report abuse
valDallalba/README.md
👋 Hello, I'm Valentin !
I'm a Data analyst with strong experience in Python, data modeling and analytical workflows.

I build data-driven solutions to explore, model and interpret complex datasets across various domains.
I hold a PhD in Science, during which I developed numerous methodologies for data analysis, 3D and temporal interpolation, uncertainty estimation, and geostatistical approaches. I published several scientific papers and presented my work at international conferences.
Since then, I have worked in a private engineering company, where I continue to develop data-driven solutions and client-oriented approaches, while strengthening my project management skills.
🔧 Core skills
  • Programming & Data: Python (Pandas, NumPy, SciPy), SQL
  • Data analysis: exploratory analysis, time series, statistical modeling, ML
  • Data processing: data cleaning, pipelines, reproducible workflows
  • Visualization: Dashboard creation, Streamlit, Matplotlib, Seaborn, Plotly, Tableau
  • Tools: Git, Jupyter, Linux
🎯 Interests
  • Data analytics & decision support
  • Applied data science
  • Quantitative analysis in various sectors (finance, energy, consulting, tech)
Selected Projects - Val Dallalba
Time Series Analysis & Modeling
Analyzed and modeled time series to detect trends and return time event for environnemental risk estimation.
Skills: Python, statsmodels, visualization, modeling
Impact: Identified patterns and future scenarios from real or simulated data.
→ repo
Geospatial & Hydro-Environmental Modeling
Analyzed and modeled spatial data to understand geographic structures and relationships.
Skills: Python, geostatistics, Multipoint simulation, Hydrogeological modeling, stochastic simulations, Uncertainty quantification, 3D modeling
Impact: Built spatial models and estimated continuous variables using geostatistical methods.
→ repo
Glacial & Basal Rock Estimation
Applied advanced geostatistical methods to estimate glacial volumes and rock structures.
Skills: Multipoint simulation, Python, stochastic simulations, models comparaison
Impact: Created realistic 3D models and extracted geological insights from heterogeneous data.
→ repo
Environmental Data prediction
Performed numerical simulation and uncertainty quantification around tunnel karst flow estimation for real engineering decision-making project.
Skills: Python, data cleaning, time series analysis
Impact: Improved reliability and quality of field-collected data.
→ repo
Physical Modeling & Risk Estimation
Simulated travel times of rockfalls in complex topography.
Skills: Python, numerical methods, fast marching algorithm
Impact: Developed robust physical models for risk assessment and hazard evaluation.
→ repo
--
📫 Contact and information

Popular repositories
Loading
  1. 
Tsanfleuron_geostatistical_baserock_estimation_paper
Tsanfleuron_geostatistical_baserock_estimation_paperPublic
    
Glacial volume estimation using MPS for the Tsanfleuron glacier (geostatistics, stochastic modeling & Python)

    Jupyter Notebook
1

  2. 
Rockfall_Travel_Time_Fast_Marching_Method
Rockfall_Travel_Time_Fast_Marching_MethodPublic
    
Numerical simulation & risk modeling using physics-based algorithms (Python)

    Jupyter Notebook
  3. 
HydroPiezo_return_analysis
HydroPiezo_return_analysisPublic
    
Time series analysis for predictive hydrogeological return time prediction & risk modeling (Python)

    Jupyter Notebook
  4. 
Tunnel_karstic_inflow_estimation
Tunnel_karstic_inflow_estimationPublic
    
Numerical modeling and predective modeling with uncertainty quantification for engineering decision-making projet in karstic environnement (Python)

    Jupyter Notebook
  5. 
valDallalba
valDallalbaPublic
  6. 
MPS_stochastic_Roussillon
MPS_stochastic_RoussillonPublic
    
Multiple-Point-Stochastic Simulations of the Roussillon hydrogeological model (geostatistics)

    Jupyter Notebook

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links");
}
} catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); }
})();
(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '

Skip to content
View valDallalba's full-sized avatar
5
followers
 · 3
following


Block or report valDallalba

Block user

Prevent this user from interacting with your repositories and sending you notifications.
Learn more about blocking users.


You must be logged in to block users.


Content in all repositories owned by your account will be closed.


Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.

Report abuse

Contact GitHub support about this user’s behavior.
Learn more about reporting abuse.

Report abuse
valDallalba/README.md
👋 Hello, I'm Valentin !
I'm a Data analyst with strong experience in Python, data modeling and analytical workflows.

I build data-driven solutions to explore, model and interpret complex datasets across various domains.
I hold a PhD in Science, during which I developed numerous methodologies for data analysis, 3D and temporal interpolation, uncertainty estimation, and geostatistical approaches. I published several scientific papers and presented my work at international conferences.
Since then, I have worked in a private engineering company, where I continue to develop data-driven solutions and client-oriented approaches, while strengthening my project management skills.
🔧 Core skills
  • Programming & Data: Python (Pandas, NumPy, SciPy), SQL
  • Data analysis: exploratory analysis, time series, statistical modeling, ML
  • Data processing: data cleaning, pipelines, reproducible workflows
  • Visualization: Dashboard creation, Streamlit, Matplotlib, Seaborn, Plotly, Tableau
  • Tools: Git, Jupyter, Linux
🎯 Interests
  • Data analytics & decision support
  • Applied data science
  • Quantitative analysis in various sectors (finance, energy, consulting, tech)
Selected Projects - Val Dallalba
Time Series Analysis & Modeling
Analyzed and modeled time series to detect trends and return time event for environnemental risk estimation.
Skills: Python, statsmodels, visualization, modeling
Impact: Identified patterns and future scenarios from real or simulated data.
→ repo
Geospatial & Hydro-Environmental Modeling
Analyzed and modeled spatial data to understand geographic structures and relationships.
Skills: Python, geostatistics, Multipoint simulation, Hydrogeological modeling, stochastic simulations, Uncertainty quantification, 3D modeling
Impact: Built spatial models and estimated continuous variables using geostatistical methods.
→ repo
Glacial & Basal Rock Estimation
Applied advanced geostatistical methods to estimate glacial volumes and rock structures.
Skills: Multipoint simulation, Python, stochastic simulations, models comparaison
Impact: Created realistic 3D models and extracted geological insights from heterogeneous data.
→ repo
Environmental Data prediction
Performed numerical simulation and uncertainty quantification around tunnel karst flow estimation for real engineering decision-making project.
Skills: Python, data cleaning, time series analysis
Impact: Improved reliability and quality of field-collected data.
→ repo
Physical Modeling & Risk Estimation
Simulated travel times of rockfalls in complex topography.
Skills: Python, numerical methods, fast marching algorithm
Impact: Developed robust physical models for risk assessment and hazard evaluation.
→ repo
--
📫 Contact and information

Popular repositories
Loading
  1. 
Tsanfleuron_geostatistical_baserock_estimation_paper
Tsanfleuron_geostatistical_baserock_estimation_paperPublic
    
Glacial volume estimation using MPS for the Tsanfleuron glacier (geostatistics, stochastic modeling & Python)

    Jupyter Notebook
1

  2. 
Rockfall_Travel_Time_Fast_Marching_Method
Rockfall_Travel_Time_Fast_Marching_MethodPublic
    
Numerical simulation & risk modeling using physics-based algorithms (Python)

    Jupyter Notebook
  3. 
HydroPiezo_return_analysis
HydroPiezo_return_analysisPublic
    
Time series analysis for predictive hydrogeological return time prediction & risk modeling (Python)

    Jupyter Notebook
  4. 
Tunnel_karstic_inflow_estimation
Tunnel_karstic_inflow_estimationPublic
    
Numerical modeling and predective modeling with uncertainty quantification for engineering decision-making projet in karstic environnement (Python)

    Jupyter Notebook
  5. 
valDallalba
valDallalbaPublic
  6. 
MPS_stochastic_Roussillon
MPS_stochastic_RoussillonPublic
    
Multiple-Point-Stochastic Simulations of the Roussillon hydrogeological model (geostatistics)

    Jupyter Notebook

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default");
}
} catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
View valDallalba's full-sized avatar
5
followers
 · 3
following


Block or report valDallalba

Block user

Prevent this user from interacting with your repositories and sending you notifications.
Learn more about blocking users.


You must be logged in to block users.


Content in all repositories owned by your account will be closed.


Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.

Report abuse

Contact GitHub support about this user’s behavior.
Learn more about reporting abuse.

Report abuse
valDallalba/README.md
👋 Hello, I'm Valentin !
I'm a Data analyst with strong experience in Python, data modeling and analytical workflows.

I build data-driven solutions to explore, model and interpret complex datasets across various domains.
I hold a PhD in Science, during which I developed numerous methodologies for data analysis, 3D and temporal interpolation, uncertainty estimation, and geostatistical approaches. I published several scientific papers and presented my work at international conferences.
Since then, I have worked in a private engineering company, where I continue to develop data-driven solutions and client-oriented approaches, while strengthening my project management skills.
🔧 Core skills
  • Programming & Data: Python (Pandas, NumPy, SciPy), SQL
  • Data analysis: exploratory analysis, time series, statistical modeling, ML
  • Data processing: data cleaning, pipelines, reproducible workflows
  • Visualization: Dashboard creation, Streamlit, Matplotlib, Seaborn, Plotly, Tableau
  • Tools: Git, Jupyter, Linux
🎯 Interests
  • Data analytics & decision support
  • Applied data science
  • Quantitative analysis in various sectors (finance, energy, consulting, tech)
Selected Projects - Val Dallalba
Time Series Analysis & Modeling
Analyzed and modeled time series to detect trends and return time event for environnemental risk estimation.
Skills: Python, statsmodels, visualization, modeling
Impact: Identified patterns and future scenarios from real or simulated data.
→ repo
Geospatial & Hydro-Environmental Modeling
Analyzed and modeled spatial data to understand geographic structures and relationships.
Skills: Python, geostatistics, Multipoint simulation, Hydrogeological modeling, stochastic simulations, Uncertainty quantification, 3D modeling
Impact: Built spatial models and estimated continuous variables using geostatistical methods.
→ repo
Glacial & Basal Rock Estimation
Applied advanced geostatistical methods to estimate glacial volumes and rock structures.
Skills: Multipoint simulation, Python, stochastic simulations, models comparaison
Impact: Created realistic 3D models and extracted geological insights from heterogeneous data.
→ repo
Environmental Data prediction
Performed numerical simulation and uncertainty quantification around tunnel karst flow estimation for real engineering decision-making project.
Skills: Python, data cleaning, time series analysis
Impact: Improved reliability and quality of field-collected data.
→ repo
Physical Modeling & Risk Estimation
Simulated travel times of rockfalls in complex topography.
Skills: Python, numerical methods, fast marching algorithm
Impact: Developed robust physical models for risk assessment and hazard evaluation.
→ repo
--
📫 Contact and information

Popular repositories
Loading
  1. 
Tsanfleuron_geostatistical_baserock_estimation_paper
Tsanfleuron_geostatistical_baserock_estimation_paperPublic
    
Glacial volume estimation using MPS for the Tsanfleuron glacier (geostatistics, stochastic modeling & Python)

    Jupyter Notebook
1

  2. 
Rockfall_Travel_Time_Fast_Marching_Method
Rockfall_Travel_Time_Fast_Marching_MethodPublic
    
Numerical simulation & risk modeling using physics-based algorithms (Python)

    Jupyter Notebook
  3. 
HydroPiezo_return_analysis
HydroPiezo_return_analysisPublic
    
Time series analysis for predictive hydrogeological return time prediction & risk modeling (Python)

    Jupyter Notebook
  4. 
Tunnel_karstic_inflow_estimation
Tunnel_karstic_inflow_estimationPublic
    
Numerical modeling and predective modeling with uncertainty quantification for engineering decision-making projet in karstic environnement (Python)

    Jupyter Notebook
  5. 
valDallalba
valDallalbaPublic
  6. 
MPS_stochastic_Roussillon
MPS_stochastic_RoussillonPublic
    
Multiple-Point-Stochastic Simulations of the Roussillon hydrogeological model (geostatistics)

    Jupyter Notebook

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers");
}
} catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
View valDallalba's full-sized avatar
5
followers
 · 3
following


Block or report valDallalba

Block user

Prevent this user from interacting with your repositories and sending you notifications.
Learn more about blocking users.


You must be logged in to block users.


Content in all repositories owned by your account will be closed.


Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.

Report abuse

Contact GitHub support about this user’s behavior.
Learn more about reporting abuse.

Report abuse
valDallalba/README.md
👋 Hello, I'm Valentin !
I'm a Data analyst with strong experience in Python, data modeling and analytical workflows.

I build data-driven solutions to explore, model and interpret complex datasets across various domains.
I hold a PhD in Science, during which I developed numerous methodologies for data analysis, 3D and temporal interpolation, uncertainty estimation, and geostatistical approaches. I published several scientific papers and presented my work at international conferences.
Since then, I have worked in a private engineering company, where I continue to develop data-driven solutions and client-oriented approaches, while strengthening my project management skills.
🔧 Core skills
  • Programming & Data: Python (Pandas, NumPy, SciPy), SQL
  • Data analysis: exploratory analysis, time series, statistical modeling, ML
  • Data processing: data cleaning, pipelines, reproducible workflows
  • Visualization: Dashboard creation, Streamlit, Matplotlib, Seaborn, Plotly, Tableau
  • Tools: Git, Jupyter, Linux
🎯 Interests
  • Data analytics & decision support
  • Applied data science
  • Quantitative analysis in various sectors (finance, energy, consulting, tech)
Selected Projects - Val Dallalba
Time Series Analysis & Modeling
Analyzed and modeled time series to detect trends and return time event for environnemental risk estimation.
Skills: Python, statsmodels, visualization, modeling
Impact: Identified patterns and future scenarios from real or simulated data.
→ repo
Geospatial & Hydro-Environmental Modeling
Analyzed and modeled spatial data to understand geographic structures and relationships.
Skills: Python, geostatistics, Multipoint simulation, Hydrogeological modeling, stochastic simulations, Uncertainty quantification, 3D modeling
Impact: Built spatial models and estimated continuous variables using geostatistical methods.
→ repo
Glacial & Basal Rock Estimation
Applied advanced geostatistical methods to estimate glacial volumes and rock structures.
Skills: Multipoint simulation, Python, stochastic simulations, models comparaison
Impact: Created realistic 3D models and extracted geological insights from heterogeneous data.
→ repo
Environmental Data prediction
Performed numerical simulation and uncertainty quantification around tunnel karst flow estimation for real engineering decision-making project.
Skills: Python, data cleaning, time series analysis
Impact: Improved reliability and quality of field-collected data.
→ repo
Physical Modeling & Risk Estimation
Simulated travel times of rockfalls in complex topography.
Skills: Python, numerical methods, fast marching algorithm
Impact: Developed robust physical models for risk assessment and hazard evaluation.
→ repo
--
📫 Contact and information

Popular repositories
Loading
  1. 
Tsanfleuron_geostatistical_baserock_estimation_paper
Tsanfleuron_geostatistical_baserock_estimation_paperPublic
    
Glacial volume estimation using MPS for the Tsanfleuron glacier (geostatistics, stochastic modeling & Python)

    Jupyter Notebook
1

  2. 
Rockfall_Travel_Time_Fast_Marching_Method
Rockfall_Travel_Time_Fast_Marching_MethodPublic
    
Numerical simulation & risk modeling using physics-based algorithms (Python)

    Jupyter Notebook
  3. 
HydroPiezo_return_analysis
HydroPiezo_return_analysisPublic
    
Time series analysis for predictive hydrogeological return time prediction & risk modeling (Python)

    Jupyter Notebook
  4. 
Tunnel_karstic_inflow_estimation
Tunnel_karstic_inflow_estimationPublic
    
Numerical modeling and predective modeling with uncertainty quantification for engineering decision-making projet in karstic environnement (Python)

    Jupyter Notebook
  5. 
valDallalba
valDallalbaPublic
  6. 
MPS_stochastic_Roussillon
MPS_stochastic_RoussillonPublic
    
Multiple-Point-Stochastic Simulations of the Roussillon hydrogeological model (geostatistics)

    Jupyter Notebook

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode");
}
} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
})();
})();

Skip to content
View valDallalba's full-sized avatar
5
followers
 · 3
following


Block or report valDallalba

Block user

Prevent this user from interacting with your repositories and sending you notifications.
Learn more about blocking users.


You must be logged in to block users.


Content in all repositories owned by your account will be closed.


Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.

Report abuse

Contact GitHub support about this user’s behavior.
Learn more about reporting abuse.

Report abuse
valDallalba/README.md
👋 Hello, I'm Valentin !
I'm a Data analyst with strong experience in Python, data modeling and analytical workflows.

I build data-driven solutions to explore, model and interpret complex datasets across various domains.
I hold a PhD in Science, during which I developed numerous methodologies for data analysis, 3D and temporal interpolation, uncertainty estimation, and geostatistical approaches. I published several scientific papers and presented my work at international conferences.
Since then, I have worked in a private engineering company, where I continue to develop data-driven solutions and client-oriented approaches, while strengthening my project management skills.
🔧 Core skills
  • Programming & Data: Python (Pandas, NumPy, SciPy), SQL
  • Data analysis: exploratory analysis, time series, statistical modeling, ML
  • Data processing: data cleaning, pipelines, reproducible workflows
  • Visualization: Dashboard creation, Streamlit, Matplotlib, Seaborn, Plotly, Tableau
  • Tools: Git, Jupyter, Linux
🎯 Interests
  • Data analytics & decision support
  • Applied data science
  • Quantitative analysis in various sectors (finance, energy, consulting, tech)
Selected Projects - Val Dallalba
Time Series Analysis & Modeling
Analyzed and modeled time series to detect trends and return time event for environnemental risk estimation.
Skills: Python, statsmodels, visualization, modeling
Impact: Identified patterns and future scenarios from real or simulated data.
→ repo
Geospatial & Hydro-Environmental Modeling
Analyzed and modeled spatial data to understand geographic structures and relationships.
Skills: Python, geostatistics, Multipoint simulation, Hydrogeological modeling, stochastic simulations, Uncertainty quantification, 3D modeling
Impact: Built spatial models and estimated continuous variables using geostatistical methods.
→ repo
Glacial & Basal Rock Estimation
Applied advanced geostatistical methods to estimate glacial volumes and rock structures.
Skills: Multipoint simulation, Python, stochastic simulations, models comparaison
Impact: Created realistic 3D models and extracted geological insights from heterogeneous data.
→ repo
Environmental Data prediction
Performed numerical simulation and uncertainty quantification around tunnel karst flow estimation for real engineering decision-making project.
Skills: Python, data cleaning, time series analysis
Impact: Improved reliability and quality of field-collected data.
→ repo
Physical Modeling & Risk Estimation
Simulated travel times of rockfalls in complex topography.
Skills: Python, numerical methods, fast marching algorithm
Impact: Developed robust physical models for risk assessment and hazard evaluation.
→ repo
--
📫 Contact and information

Popular repositories
Loading
  1. 
Tsanfleuron_geostatistical_baserock_estimation_paper
Tsanfleuron_geostatistical_baserock_estimation_paperPublic
    
Glacial volume estimation using MPS for the Tsanfleuron glacier (geostatistics, stochastic modeling & Python)

    Jupyter Notebook
1

  2. 
Rockfall_Travel_Time_Fast_Marching_Method
Rockfall_Travel_Time_Fast_Marching_MethodPublic
    
Numerical simulation & risk modeling using physics-based algorithms (Python)

    Jupyter Notebook
  3. 
HydroPiezo_return_analysis
HydroPiezo_return_analysisPublic
    
Time series analysis for predictive hydrogeological return time prediction & risk modeling (Python)

    Jupyter Notebook
  4. 
Tunnel_karstic_inflow_estimation
Tunnel_karstic_inflow_estimationPublic
    
Numerical modeling and predective modeling with uncertainty quantification for engineering decision-making projet in karstic environnement (Python)

    Jupyter Notebook
  5. 
valDallalba
valDallalbaPublic
  6. 
MPS_stochastic_Roussillon
MPS_stochastic_RoussillonPublic
    
Multiple-Point-Stochastic Simulations of the Roussillon hydrogeological model (geostatistics)

    Jupyter Notebook