Jun 2024 – Present · 2 yrs · Pune, Maharashtra, India · On-site

• Analyzed multi-million record datasets to uncover revenue leaks and inefficiencies, increasing process adherence by 17%.
• Automated KPI dashboards in Power BI and Excel, cutting manual reporting hours by 50% and enabling real-time leadership visibility.
• Developed and validated ML models for credit risk and fraud detection, improving prediction accuracy by 15%.
• Conducted model validations for soundness, performance, and compliance, aligning with Model Risk Management standards.
• Built Python scripts using Pandas and NumPy for data cleansing, enhancing data quality across 2+ business domains.
• Developed and maintained backend automation pipelines in Python for seamless data integration and workflow orchestration.
• Optimized SQL queries, stored procedures, and databases, boosting data retrieval efficiency by 25%.
• Collaborated with Engineering, Product, and Finance teams to define metrics and align data strategies with business OKRs.
• Performed A/B testing and statistical analysis, driving product improvements and increasing user engagement by 8%.
• Delivered executive-level data stories and visual insights, influencing strategy and achieving $200K+ in cost savings annually.