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DevCarvalhal/README.md

Data Analyst | Fraud & Risk Analytics

I am a Data Analyst focused on Fraud Prevention, Risk Analysis, and Data-Driven Decision Making.
My work combines SQL, Python, and BI tools to analyze complex systems and generate actionable insights.

What I Do

  • Fraud detection and risk analysis
  • SQL-based data investigation (CTEs, window functions)
  • KPI design and performance analysis
  • Data visualization (Power BI, Tableau)
  • Analytical storytelling for decision-making

Core Tools

  • SQL (PostgreSQL, SQLite)
  • Python (Pandas, NumPy)
  • Power BI
  • Tableau
  • Excel
  • Git & GitHub

Featured Projects

Fraud & Risk Analytics

  • Chargeback Risk Analysis
  • Fraud Detection (SQL + Python)
  • Fraud Rules Engine (SQL)
  • Fraud Investigation Case (SQL)

Business Intelligence & Analytics

  • Public Healthcare Performance Analysis (Brazil)
  • Fraud Detection Analytics Dashboard

Current Focus

  • Fraud & Risk Analytics
  • Advanced SQL for behavioral analysis
  • Building real-world analytics projects
  • Preparing for international opportunities

Contact

Pinned Loading

  1. chargeback-risk-analysischargeback-risk-analysisPublic

    Chargeback risk analysis project using SQL and Python to identify high-risk customers, estimate financial losses and support fraud prevention.

  2. fraud-detection-sql-pythonfraud-detection-sql-pythonPublic

    Fraud detection project using SQL and Python to identify suspicious transactions, analyze risk patterns and generate business insights.

    Python

  3. fraud-detection-analytics-casefraud-detection-analytics-casePublic

    Fraud Detection Analytics Project using Python, SQL, Power BI and Tableau. End-to-end case simulating a fintech fraud analyst workflow.

    Python 1

  4. fraud-investigation-sql-casefraud-investigation-sql-casePublic

    SQL project simulating a fraud detection rules engine with risk scoring and case prioritization.

  5. fraud-rules-engine-sqlfraud-rules-engine-sqlPublic

    SQL project simulating a fraud detection rules engine with risk scoring and case prioritization.

  6. public-healthcare-performance-analysispublic-healthcare-performance-analysisPublic

    Public healthcare performance analysis using SUS data from Teresópolis (Rio de Janeiro, Brazil), with a focus on cost, efficiency, and system pressure using Power BI.

, '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
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DevCarvalhal/README.md
Data Analyst | Fraud & Risk Analytics
I am a Data Analyst focused on Fraud Prevention, Risk Analysis, and Data-Driven Decision Making.

My work combines SQL, Python, and BI tools to analyze complex systems and generate actionable insights.
What I Do
  • Fraud detection and risk analysis
  • SQL-based data investigation (CTEs, window functions)
  • KPI design and performance analysis
  • Data visualization (Power BI, Tableau)
  • Analytical storytelling for decision-making
Core Tools
  • SQL (PostgreSQL, SQLite)
  • Python (Pandas, NumPy)
  • Power BI
  • Tableau
  • Excel
  • Git & GitHub
Featured Projects
Fraud & Risk Analytics
  • Chargeback Risk Analysis
  • Fraud Detection (SQL + Python)
  • Fraud Rules Engine (SQL)
  • Fraud Investigation Case (SQL)
Business Intelligence & Analytics
  • Public Healthcare Performance Analysis (Brazil)
  • Fraud Detection Analytics Dashboard
Current Focus
  • Fraud & Risk Analytics
  • Advanced SQL for behavioral analysis
  • Building real-world analytics projects
  • Preparing for international opportunities
Contact

Pinned
Loading
  1. chargeback-risk-analysischargeback-risk-analysisPublic
    
Chargeback risk analysis project using SQL and Python to identify high-risk customers, estimate financial losses and support fraud prevention.

  2. fraud-detection-sql-pythonfraud-detection-sql-pythonPublic
    
Fraud detection project using SQL and Python to identify suspicious transactions, analyze risk patterns and generate business insights.

    Python
  3. fraud-detection-analytics-casefraud-detection-analytics-casePublic
    
Fraud Detection Analytics Project using Python, SQL, Power BI and Tableau. End-to-end case simulating a fintech fraud analyst workflow.

    Python
1

  4. fraud-investigation-sql-casefraud-investigation-sql-casePublic
    
SQL project simulating a fraud detection rules engine with risk scoring and case prioritization.

  5. fraud-rules-engine-sqlfraud-rules-engine-sqlPublic
    
SQL project simulating a fraud detection rules engine with risk scoring and case prioritization.

  6. public-healthcare-performance-analysispublic-healthcare-performance-analysisPublic
    
Public healthcare performance analysis using SUS data from Teresópolis (Rio de Janeiro, Brazil), with a focus on cost, efficiency, and system pressure using Power BI.


, '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 DevCarvalhal's full-sized avatar
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follower
 · 2
following


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DevCarvalhal/README.md
Data Analyst | Fraud & Risk Analytics
I am a Data Analyst focused on Fraud Prevention, Risk Analysis, and Data-Driven Decision Making.

My work combines SQL, Python, and BI tools to analyze complex systems and generate actionable insights.
What I Do
  • Fraud detection and risk analysis
  • SQL-based data investigation (CTEs, window functions)
  • KPI design and performance analysis
  • Data visualization (Power BI, Tableau)
  • Analytical storytelling for decision-making
Core Tools
  • SQL (PostgreSQL, SQLite)
  • Python (Pandas, NumPy)
  • Power BI
  • Tableau
  • Excel
  • Git & GitHub
Featured Projects
Fraud & Risk Analytics
  • Chargeback Risk Analysis
  • Fraud Detection (SQL + Python)
  • Fraud Rules Engine (SQL)
  • Fraud Investigation Case (SQL)
Business Intelligence & Analytics
  • Public Healthcare Performance Analysis (Brazil)
  • Fraud Detection Analytics Dashboard
Current Focus
  • Fraud & Risk Analytics
  • Advanced SQL for behavioral analysis
  • Building real-world analytics projects
  • Preparing for international opportunities
Contact

Pinned
Loading
  1. chargeback-risk-analysischargeback-risk-analysisPublic
    
Chargeback risk analysis project using SQL and Python to identify high-risk customers, estimate financial losses and support fraud prevention.

  2. fraud-detection-sql-pythonfraud-detection-sql-pythonPublic
    
Fraud detection project using SQL and Python to identify suspicious transactions, analyze risk patterns and generate business insights.

    Python
  3. fraud-detection-analytics-casefraud-detection-analytics-casePublic
    
Fraud Detection Analytics Project using Python, SQL, Power BI and Tableau. End-to-end case simulating a fintech fraud analyst workflow.

    Python
1

  4. fraud-investigation-sql-casefraud-investigation-sql-casePublic
    
SQL project simulating a fraud detection rules engine with risk scoring and case prioritization.

  5. fraud-rules-engine-sqlfraud-rules-engine-sqlPublic
    
SQL project simulating a fraud detection rules engine with risk scoring and case prioritization.

  6. public-healthcare-performance-analysispublic-healthcare-performance-analysisPublic
    
Public healthcare performance analysis using SUS data from Teresópolis (Rio de Janeiro, Brazil), with a focus on cost, efficiency, and system pressure using Power BI.


, '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 DevCarvalhal's full-sized avatar
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follower
 · 2
following


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DevCarvalhal/README.md
Data Analyst | Fraud & Risk Analytics
I am a Data Analyst focused on Fraud Prevention, Risk Analysis, and Data-Driven Decision Making.

My work combines SQL, Python, and BI tools to analyze complex systems and generate actionable insights.
What I Do
  • Fraud detection and risk analysis
  • SQL-based data investigation (CTEs, window functions)
  • KPI design and performance analysis
  • Data visualization (Power BI, Tableau)
  • Analytical storytelling for decision-making
Core Tools
  • SQL (PostgreSQL, SQLite)
  • Python (Pandas, NumPy)
  • Power BI
  • Tableau
  • Excel
  • Git & GitHub
Featured Projects
Fraud & Risk Analytics
  • Chargeback Risk Analysis
  • Fraud Detection (SQL + Python)
  • Fraud Rules Engine (SQL)
  • Fraud Investigation Case (SQL)
Business Intelligence & Analytics
  • Public Healthcare Performance Analysis (Brazil)
  • Fraud Detection Analytics Dashboard
Current Focus
  • Fraud & Risk Analytics
  • Advanced SQL for behavioral analysis
  • Building real-world analytics projects
  • Preparing for international opportunities
Contact

Pinned
Loading
  1. chargeback-risk-analysischargeback-risk-analysisPublic
    
Chargeback risk analysis project using SQL and Python to identify high-risk customers, estimate financial losses and support fraud prevention.

  2. fraud-detection-sql-pythonfraud-detection-sql-pythonPublic
    
Fraud detection project using SQL and Python to identify suspicious transactions, analyze risk patterns and generate business insights.

    Python
  3. fraud-detection-analytics-casefraud-detection-analytics-casePublic
    
Fraud Detection Analytics Project using Python, SQL, Power BI and Tableau. End-to-end case simulating a fintech fraud analyst workflow.

    Python
1

  4. fraud-investigation-sql-casefraud-investigation-sql-casePublic
    
SQL project simulating a fraud detection rules engine with risk scoring and case prioritization.

  5. fraud-rules-engine-sqlfraud-rules-engine-sqlPublic
    
SQL project simulating a fraud detection rules engine with risk scoring and case prioritization.

  6. public-healthcare-performance-analysispublic-healthcare-performance-analysisPublic
    
Public healthcare performance analysis using SUS data from Teresópolis (Rio de Janeiro, Brazil), with a focus on cost, efficiency, and system pressure using Power BI.


, '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 DevCarvalhal's full-sized avatar
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Disponível para novos projetos
🎯
Disponível para novos projetos
1
follower
 · 2
following


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DevCarvalhal/README.md
Data Analyst | Fraud & Risk Analytics
I am a Data Analyst focused on Fraud Prevention, Risk Analysis, and Data-Driven Decision Making.

My work combines SQL, Python, and BI tools to analyze complex systems and generate actionable insights.
What I Do
  • Fraud detection and risk analysis
  • SQL-based data investigation (CTEs, window functions)
  • KPI design and performance analysis
  • Data visualization (Power BI, Tableau)
  • Analytical storytelling for decision-making
Core Tools
  • SQL (PostgreSQL, SQLite)
  • Python (Pandas, NumPy)
  • Power BI
  • Tableau
  • Excel
  • Git & GitHub
Featured Projects
Fraud & Risk Analytics
  • Chargeback Risk Analysis
  • Fraud Detection (SQL + Python)
  • Fraud Rules Engine (SQL)
  • Fraud Investigation Case (SQL)
Business Intelligence & Analytics
  • Public Healthcare Performance Analysis (Brazil)
  • Fraud Detection Analytics Dashboard
Current Focus
  • Fraud & Risk Analytics
  • Advanced SQL for behavioral analysis
  • Building real-world analytics projects
  • Preparing for international opportunities
Contact

Pinned
Loading
  1. chargeback-risk-analysischargeback-risk-analysisPublic
    
Chargeback risk analysis project using SQL and Python to identify high-risk customers, estimate financial losses and support fraud prevention.

  2. fraud-detection-sql-pythonfraud-detection-sql-pythonPublic
    
Fraud detection project using SQL and Python to identify suspicious transactions, analyze risk patterns and generate business insights.

    Python
  3. fraud-detection-analytics-casefraud-detection-analytics-casePublic
    
Fraud Detection Analytics Project using Python, SQL, Power BI and Tableau. End-to-end case simulating a fintech fraud analyst workflow.

    Python
1

  4. fraud-investigation-sql-casefraud-investigation-sql-casePublic
    
SQL project simulating a fraud detection rules engine with risk scoring and case prioritization.

  5. fraud-rules-engine-sqlfraud-rules-engine-sqlPublic
    
SQL project simulating a fraud detection rules engine with risk scoring and case prioritization.

  6. public-healthcare-performance-analysispublic-healthcare-performance-analysisPublic
    
Public healthcare performance analysis using SUS data from Teresópolis (Rio de Janeiro, Brazil), with a focus on cost, efficiency, and system pressure using Power BI.


, '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 DevCarvalhal's full-sized avatar
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🎯
Disponível para novos projetos
1
follower
 · 2
following


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DevCarvalhal/README.md
Data Analyst | Fraud & Risk Analytics
I am a Data Analyst focused on Fraud Prevention, Risk Analysis, and Data-Driven Decision Making.

My work combines SQL, Python, and BI tools to analyze complex systems and generate actionable insights.
What I Do
  • Fraud detection and risk analysis
  • SQL-based data investigation (CTEs, window functions)
  • KPI design and performance analysis
  • Data visualization (Power BI, Tableau)
  • Analytical storytelling for decision-making
Core Tools
  • SQL (PostgreSQL, SQLite)
  • Python (Pandas, NumPy)
  • Power BI
  • Tableau
  • Excel
  • Git & GitHub
Featured Projects
Fraud & Risk Analytics
  • Chargeback Risk Analysis
  • Fraud Detection (SQL + Python)
  • Fraud Rules Engine (SQL)
  • Fraud Investigation Case (SQL)
Business Intelligence & Analytics
  • Public Healthcare Performance Analysis (Brazil)
  • Fraud Detection Analytics Dashboard
Current Focus
  • Fraud & Risk Analytics
  • Advanced SQL for behavioral analysis
  • Building real-world analytics projects
  • Preparing for international opportunities
Contact

Pinned
Loading
  1. chargeback-risk-analysischargeback-risk-analysisPublic
    
Chargeback risk analysis project using SQL and Python to identify high-risk customers, estimate financial losses and support fraud prevention.

  2. fraud-detection-sql-pythonfraud-detection-sql-pythonPublic
    
Fraud detection project using SQL and Python to identify suspicious transactions, analyze risk patterns and generate business insights.

    Python
  3. fraud-detection-analytics-casefraud-detection-analytics-casePublic
    
Fraud Detection Analytics Project using Python, SQL, Power BI and Tableau. End-to-end case simulating a fintech fraud analyst workflow.

    Python
1

  4. fraud-investigation-sql-casefraud-investigation-sql-casePublic
    
SQL project simulating a fraud detection rules engine with risk scoring and case prioritization.

  5. fraud-rules-engine-sqlfraud-rules-engine-sqlPublic
    
SQL project simulating a fraud detection rules engine with risk scoring and case prioritization.

  6. public-healthcare-performance-analysispublic-healthcare-performance-analysisPublic
    
Public healthcare performance analysis using SUS data from Teresópolis (Rio de Janeiro, Brazil), with a focus on cost, efficiency, and system pressure using Power BI.


, '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 DevCarvalhal's full-sized avatar
🎯
Disponível para novos projetos
🎯
Disponível para novos projetos
1
follower
 · 2
following


Block or report DevCarvalhal

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DevCarvalhal/README.md
Data Analyst | Fraud & Risk Analytics
I am a Data Analyst focused on Fraud Prevention, Risk Analysis, and Data-Driven Decision Making.

My work combines SQL, Python, and BI tools to analyze complex systems and generate actionable insights.
What I Do
  • Fraud detection and risk analysis
  • SQL-based data investigation (CTEs, window functions)
  • KPI design and performance analysis
  • Data visualization (Power BI, Tableau)
  • Analytical storytelling for decision-making
Core Tools
  • SQL (PostgreSQL, SQLite)
  • Python (Pandas, NumPy)
  • Power BI
  • Tableau
  • Excel
  • Git & GitHub
Featured Projects
Fraud & Risk Analytics
  • Chargeback Risk Analysis
  • Fraud Detection (SQL + Python)
  • Fraud Rules Engine (SQL)
  • Fraud Investigation Case (SQL)
Business Intelligence & Analytics
  • Public Healthcare Performance Analysis (Brazil)
  • Fraud Detection Analytics Dashboard
Current Focus
  • Fraud & Risk Analytics
  • Advanced SQL for behavioral analysis
  • Building real-world analytics projects
  • Preparing for international opportunities
Contact

Pinned
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  1. chargeback-risk-analysischargeback-risk-analysisPublic
    
Chargeback risk analysis project using SQL and Python to identify high-risk customers, estimate financial losses and support fraud prevention.

  2. fraud-detection-sql-pythonfraud-detection-sql-pythonPublic
    
Fraud detection project using SQL and Python to identify suspicious transactions, analyze risk patterns and generate business insights.

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Fraud Detection Analytics Project using Python, SQL, Power BI and Tableau. End-to-end case simulating a fintech fraud analyst workflow.

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SQL project simulating a fraud detection rules engine with risk scoring and case prioritization.

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SQL project simulating a fraud detection rules engine with risk scoring and case prioritization.

  6. public-healthcare-performance-analysispublic-healthcare-performance-analysisPublic
    
Public healthcare performance analysis using SUS data from Teresópolis (Rio de Janeiro, Brazil), with a focus on cost, efficiency, and system pressure using Power BI.


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DevCarvalhal/README.md
Data Analyst | Fraud & Risk Analytics
I am a Data Analyst focused on Fraud Prevention, Risk Analysis, and Data-Driven Decision Making.

My work combines SQL, Python, and BI tools to analyze complex systems and generate actionable insights.
What I Do
  • Fraud detection and risk analysis
  • SQL-based data investigation (CTEs, window functions)
  • KPI design and performance analysis
  • Data visualization (Power BI, Tableau)
  • Analytical storytelling for decision-making
Core Tools
  • SQL (PostgreSQL, SQLite)
  • Python (Pandas, NumPy)
  • Power BI
  • Tableau
  • Excel
  • Git & GitHub
Featured Projects
Fraud & Risk Analytics
  • Chargeback Risk Analysis
  • Fraud Detection (SQL + Python)
  • Fraud Rules Engine (SQL)
  • Fraud Investigation Case (SQL)
Business Intelligence & Analytics
  • Public Healthcare Performance Analysis (Brazil)
  • Fraud Detection Analytics Dashboard
Current Focus
  • Fraud & Risk Analytics
  • Advanced SQL for behavioral analysis
  • Building real-world analytics projects
  • Preparing for international opportunities
Contact

Pinned
Loading
  1. chargeback-risk-analysischargeback-risk-analysisPublic
    
Chargeback risk analysis project using SQL and Python to identify high-risk customers, estimate financial losses and support fraud prevention.

  2. fraud-detection-sql-pythonfraud-detection-sql-pythonPublic
    
Fraud detection project using SQL and Python to identify suspicious transactions, analyze risk patterns and generate business insights.

    Python
  3. fraud-detection-analytics-casefraud-detection-analytics-casePublic
    
Fraud Detection Analytics Project using Python, SQL, Power BI and Tableau. End-to-end case simulating a fintech fraud analyst workflow.

    Python
1

  4. fraud-investigation-sql-casefraud-investigation-sql-casePublic
    
SQL project simulating a fraud detection rules engine with risk scoring and case prioritization.

  5. fraud-rules-engine-sqlfraud-rules-engine-sqlPublic
    
SQL project simulating a fraud detection rules engine with risk scoring and case prioritization.

  6. public-healthcare-performance-analysispublic-healthcare-performance-analysisPublic
    
Public healthcare performance analysis using SUS data from Teresópolis (Rio de Janeiro, Brazil), with a focus on cost, efficiency, and system pressure using Power BI.