• Project Management & R&D Product Development (Start-ups Incubation-Launch-Deployment, Web pages, and Consumer goods)
• Machine Learning algorithms (Regression, Classification, Clustering, Dimensionality Reduction)
• Deep Learning (Generative, Adversarial, Autoencoders, LSTM networks)
• Generate reports, data analysis, and data visualizations ad-hoc (SQL, Dash, R, Python Libraries).
• Data analysis and dashboards creation.
• Consumer Behavior Analysis (A/B Testing, Risk Assessment, Market Segmentation)
• Product Testing and Quality Control
• Predictive Analytics
• Decision Making and Product Portfolio Optimization

• Linkedin
• 📧 Mail: salvador.rocha.e@gmail.com
• 🧑🏽‍💼 Full Cv: Curriculum (English)

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👀 Note 👀: The Dash apps are hosted on Render's free tier, which will spin them down during inactivity. This can cause delays of 50 seconds or more for requests/loading, so please be patient.🥺 Alternatively, you can click directly on the repository links to get an overview of the project.

• 🏦 Behavioral Economics: Designing Experiments to Increase Loan Agreement Rates via Santander Bank's Mobile App and the NSS of Adverse Action Notices_{📄 This document is in Spanish}

• Discover Mexico City's Airbnb Scene

  • _{🤖⚙️ Geographic Information System (GIS) App for Analyzing Airbnb Density, Clustering, Price Trends, and Review Breakdown Across Mexico City's Neighborhoods and Alcaldías}
  • _{↘️ Repository: Discover Mexico City's Airbnb Scene}

• Supermarket Sales Dashboard: Predicting and visualizing Metrics of Myanmar HUB

  • _{🤖⚙️ A Dynamic App and Dashboard on Render to showcase Key metrics, and Sales/Store Rating Predictions}
  • _{↘️ Repository: Supermarket Sales Dashboard: Predicting and visualizing Metrics of Myanmar HUB}

• Market Watch: Dynamic Stock Tracker

  • _{🤖⚙️ A Dynamic Dash App on Render to fetch and visualize stocks Data}
  • _{↘️ Repository: Market Watch: Dynamic Stock Tracker}

• Algorithmic Trading using LSTMs price forecasts & Markowitz Portfolio Optimizaition_{📄 Published Article - Deep Learning}

• Heuristic Solutions & Genetic Algorithms: An Energy Cost Optimization problem for a 4-Machine-in-sequence case_{📄 Master's Thesis}

• Paper Review: Hyperparameter Optimization Techniques_{📄 Deep Learning Seminar}

• Deep Learning Varational Autoencoders: Emotions Recognition and Image Generation_{📄 Deep Learning Project}

• Heterogeneous Graph Models: Event Detection (Trends) and Forecasting them in Social Media - Twitter Case_{📄 Paper Review}

• Languages: SQL, Python, R
• Machine learning and Deep Neural Networks: Python (Tensorflow)
• Databases: MySQL, Azure, Google BigQuery
• Visualization: Tableau, Power BI, Python Libraries (Plotly/Dash, Bokeh, matplot, etc)
• Statistics: Minitab, SAS, Rstudio, Python Libraries (SciPy, Statsmodels, etc)
• Colaborative work: Miro
• Project Management tools: Jira, Zoho Projects, MS Project, Trello, MS Planner