Omkar Surve

Data Analyst @ICICI Bank

Tech Stack: SQL, Python, Excel, Azure Databricks– Portfolio Manager: Automation of Portfolio Analysis∗ Proactively analyzed 100+ portfolio parameters across different sources to identify potential bad sourcing patterns∗ Performed IV and PSI analysis to assess variable importance and detect variable drift∗ Utilized Decision Tree models to segment high-risk sourcing and derive actionable micro-segments∗ Automated report generation with insights on population, CC, PBT, and PPOP for performance monitoring∗ Optimized execution time across report generation, analysis and decisioning by 80%∗ Reduced manual intervention enabling proactive identification, resulting in saving approximately Rs.55Cr– MLflow Deployment Framework: Scalable system ML Lifecycle and Deployment∗ Created an automated version of self updating serving endpoint for continuous deployment∗ Developed MLflow serving endpoint for income estimation model with lifecycle, version, and inference management– Data Simulation: Leveraging Multiprocessing for High-Performance Scalability∗ Designed a data simulation system to generate test cases and detect scoring inconsistencies∗ Used multiprocessing to scale data generation from thousands to crores of cases, cutting execution time by 95%