Analyzed 5K+ YouTube video comments using NLP and sentiment analysis to uncover engagement drivers, improving content strategy efficiency by 20%.

Conducted Python-based data analysis on 30K+ Amazon sales records, identifying seasonal trends that reduced stockouts by 15% and optimized inventory cycles.

Applied K-Means clustering on 8,950 records with 18 attributes, achieving 92% segmentation accuracy and improving campaign targeting precision by 37%.

Designed a Power BI dashboard analyzing pollutant metrics across 100+ cities using DAX and slicers, improving stakeholder reporting efficiency by 45%.

Performed EDA on 100K+ records and built Power BI dashboards integrating seller, category, and revenue trends, improving decision-making speed by 40%.