Predicted Falcon 9 launch outcomes using Python, ML models, and Plotly Dash/Folium for interactive visualization.
Analyzed the U.S. EV market using SQL and Tableau to inform automotive retail and market planning decisions.
Created a Tableau dashboard to visualize and enhance sales pipeline management for better decision-making.
Examined tech store sales using Python (Pandas, Matplotlib) to identify trends, top-selling items, and actionable insights for performance improvement.
Automated weekly reporting using Python (pandas, SQL) and GitHub to improve data accuracy, streamline workflows, and deliver reliable insights.
Predicted customer churn using Python (scikit-learn, pandas) and SQL, providing actionable insights to improve retention strategies.
