Abishek Mohanraj

Designed and delivered a CFO-grade financial analytics dashboard for Kalshiyaa Traders, parsing 1,251 Union Bank of India transactions (Apr 2025–Mar 2026) using Python (PDFMiner, pandas, regex) and producing an interactive HTML + Power BI report suite. Built a production-grade retail EDA pipeline on 8,523 BlinkIT grocery transactions with outlet-level CSV summaries and visualizations; generated client-ready narrative insights. Developed an Amazon India e-commerce Power BI dashboard on ~75K clean rows with a star-schema data model, 18 DAX measures, and a dark design system. Engineered an end-to-end regression pipeline for life insurance agent bonus prediction on 4,520 records; evaluated multiple models and selected XGBoost. Conducted multi-stack credit risk EDA (Home Credit) using SQL and Python; identified EXT_SOURCE features as top default predictors. Applied K-Means clustering (k=3) on ~23K ad performance records to profile three campaign strategies.

Analyze ad performance data across multiple client accounts to surface actionable optimization opportunities. Build automated marketing analytics reports using Python and Excel to streamline campaign review cycles. Collaborate with account managers to translate raw ad metrics into client-facing performance narratives.