Rishav Raj

Background

About Rishav Raj

As a Senior Data and Risk Analyst, I specialize in developing robust AI and ML models—both supervised and unsupervised—to transform complex datasets into strategic insights. My core expertise lies in the Banking and Financial Services domain, where I’ve consistently driven business growth by building high-accuracy models and uncovering patterns from data using SQL, SAS, and Python. AI/ML Model Development: Build end-to-end predictive models for classification and regression problems. Leverage feature engineering, model tuning, and performance tracking to ensure models are scalable, interpretable, and business-ready. MLOps Integration: Design ML pipelines using automation tools and version control to streamline model deployment and monitoring. Involved in model lifecycle management, data drift detection, and CI/CD integration for continuous model delivery. Big Data Analytics: Work with large-scale structured and unstructured datasets from Data Lakes, SQL Servers, and Hadoop environments. Use distributed processing (e.g, PySpark) for faster computation and analysis. Database & DataMart Design: Architect comprehensive DataMarts across the credit lifecycle—Origination, Account Management, and Collections. These structures fuel recurring and ad-hoc MIS reporting for key stakeholders. ETL & Automation: Automate routine reporting pipelines using Python, SAS, Excel macros, and SQL scripting, significantly reducing turnaround time and manual intervention. Portfolio Insights & Risk Reporting: Develop dashboards that capture KPIs like risk-weighted assets, delinquency trends, active balances, new origination volumes, and credit funnel metrics like received-to-approved and approved-to-booked ratios. Visualization & BI Reporting: Create drill-down dashboards in Power BI, Tableau, and Excel for Origination and Performance reporting, focusing on secured and unsecured lending portfolios. Designed and implemented dynamic Origination DataMarts, enhancing visibility across the credit lifecycle and enabling cross-functional MIS capabilities. Developed model monitoring checkpoints for ad-hoc analysis requests and audit tracking. Enabled real-time analytics for Account Performance using Power BI dashboards, with user-friendly filtering for business teams. Supported ad-hoc ML use cases, integrating them into production using scalable Python scripts and MLOps workflows. Feel free to contact me @ rishavraj5249@gmail.com