Anurag Majumdar

I’m a Data Analyst with a strong foundation in SQL, Python, Advanced Excel, Power BI, and Statistical Analysis. I enjoy cleaning, analyzing, and visualizing data to generate insights that directly support data-driven decision-making.

In my roles, I’ve built reporting foundations and dashboarding logic from raw data to outcomes. At Code Symphony LLP, I analyzed financial datasets (revenue, loan portfolios, default rates, repayment trends), extracted and prepared reporting datasets with SQL and Node.js-based queries, and developed KPI logic for revenue growth and delinquency ratios. At Dhurin (Bengaluru, Karnataka), I processed and standardized 820,000+ transactional records across regions to power weekly fintech performance reporting, designed dynamic Excel MIS templates that reduced turnaround time by 40%, and built Power BI dashboards adopted by seniors and risk analysts for ongoing decisions.

I also bring a modeling mindset through hands-on projects—like my Credit Risk Modeling work in Python, Pandas, Scikit-Learn, where I built a Random Forest model to predict probability of loan default and achieved a ROC-AUC of 0.925. I’m interested in collaborating on meaningful analytical work in fast-paced environments where analytical rigor and clear communication make an impact.