4.5+ years testing large-scale telecom systems, now completing an MBA in FinTech at BITS Pilani — building small explainable-AI and credit-risk projects in the process.
An explainable-AI loan eligibility model presented as a lender's passbook — real trained logistic regression, exact SHAP attribution, computed client-side.
[One or two lines on what this project does, who it's for, and what makes it worth a look.]
[One or two lines on what this project does, who it's for, and what makes it worth a look.]
[One or two lines on what this project does, who it's for, and what makes it worth a look.]
Quality Engineer with 4.5+ years testing large-scale telecom systems — order-to-activation workflows, billing integrations, and revenue-critical release cycles at Infosys and Accenture. Currently completing an MBA in FinTech at BITS Pilani, focused on where financial data, credit risk, and testing rigor meet.
My MBA capstone, Beyond the Black Box, built an XGBoost credit-risk model with SHAP/LIME explainability aligned to RBI Digital Lending Guidelines — CreditAI is that idea taken further, running fully in-browser with a real trained model.
QA background, MBA capstone, and full skills breakdown — one page, PDF.