Featured Project: E-Commerce Sales Analytics

Developed a comprehensive sales analytics dashboard for a mid-sized e-commerce company, analyzing over 500,000 transactions to identify key revenue drivers and customer segments. The project included:

• Customer segmentation analysis using RFM (Recency, Frequency, Monetary) modeling
• Product performance analysis identifying top-performing categories and seasonal trends
• Predictive modeling for inventory optimization, reducing overstock by 23%
• Interactive Power BI dashboard enabling real-time sales monitoring
• A/B testing framework for marketing campaign optimization

Result: 18% increase in revenue through targeted marketing and 30% reduction in inventory costs within the first quarter of implementation.

Featured Project: Chess Analytics

Developed a comprehensive chess elo system analysis in which one can use specific data-backed strategies to increase their Elo Rating.

• Color win-rate analysis
• Average skill disparity and how it relates to time-modes
• Most successful openings overview
• Bias analysis
• Interval Testing - Expected vs Reality

Result: By analyzing and implementing trends in opening choices, time controls, and opponent rating ranges, one can improve their chess rating by up to 51%.