Rajpoot User

I've analyzed 7,000+ telecom customer records to uncover churn patterns and identify high-risk customer segments. My work included end-to-end data cleaning, outlier detection, visual analysis, and retention-focused recommendations.

For a sales performance project, I analyzed 25,000+ records with SQL and built an interactive Power BI dashboard for revenue, regional, and product-level performance. I pinpointed a 14% revenue decline in one region and created DAX measures for month-over-month growth and top-product rankings.

I'm pursuing a B.Tech in Computer Science Engineering with an AI & ML specialization at KIET Group of Institutions. I use Python, SQL, Power BI, Excel, Pandas, NumPy, Matplotlib, and Seaborn to clean, explore, visualize, and communicate data.

I'm building an industry-ready analytics portfolio while advancing my SQL, Tableau, and Scikit-learn skills. I'm especially interested in data-driven decision-making, business intelligence, financial data analysis, and quantitative research.