An interactive data analytics dashboard exploring 20 years of Indian Lok Sabha election results (2004–2024) using Python, Pandas, NumPy, Matplotlib, Seaborn, and Streamlit.
This project analyzes Mexico’s 2024 federal elections to explore party performance and voting results. It also simulates the U.S. “Winner-Take-All” system to compare how different voting rules affect electoral outcomes.
End-to-end intelligence system for the 2025 Chilean Presidential Elections. Full ETL pipeline (Selenium → SQL Server → Jupyter → Streamlit dashboard) processing official SERVEL results for all 346 communes across both rounds, delivering territorial, statistical and strategic insights.
A reproducible electoral data science model for the 2026 U.S. midterms, combining temporal validation, House and Senate forecasts, Monte Carlo simulation, and an interactive dashboard.
Python implementation of Ginzburg's (2025) flexible polarization measure P(F,x*) for electoral analysis. Provides high-resolution diagnostic tools to identify ideological fault lines beyond traditional variance-based metrics. Includes ANES data processing, CDF computation, and cleavage point detection algorithms.
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