Credit Risk Analysis & Prediction
Analyzed financial data of 30,000+ banking customers to evaluate default risk. Implemented logistic regression models achieving 78% accuracy.
View on GitHubCurrently driving customer success analytics at Convin.ai. Skilled in SQL, Python, and Power BI.
Bridging the gap between complex data and clear visualization.
Advanced SQL Queries, Python (Pandas, NumPy), Data Cleaning & EDA.
Interactive Power BI dashboards, KPI Tracking, Tableau, and Excel Pivots.
Customer Success Metrics, Ticket Analysis (Jira), Win-Loss Reporting.
End-to-end data pipelines from extraction to insight.
Analyzed financial data of 30,000+ banking customers to evaluate default risk. Implemented logistic regression models achieving 78% accuracy.
View on GitHubExtracted sales data via SQL and performed rigorous data cleaning. Built interactive Power BI dashboards to highlight product performance and customer behavior.
View on GitHubNIE Institute of Technology | CGPA: 6.74/10