Aditya Pratap Singh

Proposed retention strategies projecting a 12% lift in repeat sales, delivered via an executive-ready Power BI reporting suite and analytical deck. Segmented 20,000+ customer records using RFM analysis to measure repeat purchase frequency and cohort-level AOV.

Identified 15%+ margin leakage across product categories by engineering an interactive Power BI (DAX) dashboard tracking gross profit margins and discount elasticity in real time. Isolated stockouts and localized price variances across 50,000+ SKU records using multi-level CTEs, window functions, and joins in PostgreSQL.

Delivered recommendations to eliminate an estimated 18-minute fulfillment bottleneck in top delivery zones by modeling delivery partner coverage against demand density. Uncovered hourly sales distribution and supply-demand bottlenecks during peak dinner hours by analyzing high-frequency order logs with Pandas and NumPy.

In progress: AWS Certified Machine Learning Engineer Associate, covering AWS cloud tools, cloud-based datasets, and ML pipelines.

Bachelor of Computer Applications (BCA) from Sushant University, with coursework in DBMS, Data Structures & Algorithms, and Applied Statistics.

Completed the Python for Data Science and Machine Learning Bootcamp, covering Pandas, NumPy, data visualization, basic ML models, and SQL.