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rafacasella/README.md

πŸš€ Rafael Casella β€” Data Scientist & Automation Specialist

🧠 Transforming Raw Data into Predictive Intelligence | Python β€’ SQL β€’ Machine Learning

πŸ“ SΓ£o Paulo, Brazil | 🌐 Open to Remote Opportunities

I turn messy data into clear business decisions. Specialized in Python automation, SQL querying, and visual storytelling with dashboards that actually get used.

Currently deepening my expertise in Advanced Data Science, focusing on time-series forecasting and predictive modeling with neural networks.

Recent impact:
βœ… Automated 15h/week of CFO reporting β†’ Python + SQL + Streamlit
βœ… Deployed churn predictor with 82.65% accuracy β†’ Reducing customer loss
βœ… Built real-time geopolitical monitoring system β†’ Playwright + Async Python

πŸ’Ό Looking for opportunities in: Data Science, ML Engineering, Business Intelligence
πŸ“© Let's connect: LinkedIn | rafacasella@gmail.com

πŸŽ“ Education

  • B.S. in Computer Engineering
  • Postgraduate in Data Science, Machine Learning & AI β€” In Progress

πŸ’‘ How I Work

From Raw Data to Business Action

  1. πŸ” Discover β€” Ask the right questions before touching data
  2. 🧹 Clean β€” Pandas + SQL to turn chaos into structure
  3. πŸ“ˆ Analyze β€” Statistical tests, trend analysis, cohort breakdowns
  4. πŸ“Š Visualize β€” Dashboards that executives actually understand
  5. πŸ€– Automate β€” Python scripts that run while you sleep

My edge: I don't just deliver reports. I deliver insights that change decisions.


πŸ› οΈ Tech Stack

Core Skills (Daily Use)

Python Pandas SQL Power BI

Data Visualization & Automation

Matplotlib Seaborn Streamlit Playwright

Databases

PostgreSQL MySQL

Machine Learning & Deep Learning

scikit-learn Statsmodels TensorFlow Keras

πŸš€ Featured Projects

πŸ“Š Financial Dashboard Automation

Problem: Manual Excel reports taking 3h daily
Solution: Python ETL + Streamlit Framework
Impact: 15h/week saved, real-time data instead of daily
πŸ”— View Project | Python, Pandas, StreamLit

πŸ€– Customer Churn Predictor

Problem: High monthly churn with no early warning system
Solution: Logistic regression model with 82.65% accuracy
Impact: Retention team now contacts at-risk customers proactively, improving retention rates
πŸ”— View Project | StatsModels, PostgreSQL, Seaborn

πŸ” Web Scraping Monitor

Problem: Difficult manual tracking of statements impacting the global economy
Solution: Playwright scraper
Impact: Stealth real-time pipeline to monitor geopolitical mentions
πŸ”— View Project | Playwright, Urllib, Asyncio

πŸ‘¨β€πŸ’» About Me

Beyond code and data, I'm passionate about:

  • πŸ“Š Analyzing financial markets and managing my investment portfolio
  • πŸ€– Exploring the intersection of AI and economics
  • 🌍 Studying macroeconomic trends and global financial markets

When I'm not optimizing models, I'm optimizing time with my family.

πŸ“© Contact

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  1. Data_Analysis_Portfolio Data_Analysis_Portfolio Public

    This portfolio showcases solutions in data analysis, data engineering, and process automation using Python and SQL to generate business insights. The goal is to highlight the practical application …

    Jupyter Notebook

  2. Data_Science_Portfolio Data_Science_Portfolio Public

    This portfolio showcases solutions in Data Science, Predictive Modeling, and Data Engineering. The goal is to highlight the practical application of cutting-edge artificial intelligence (such as LS…

    Jupyter Notebook