- π Education: Bachelor of Computer Engineering
- π» Tech Stacks: MongoDB, Node.js, Express.js, React, Next.js, Flutter, Django
- π Languages: JavaScript, Dart, HTML, CSS, Python
- π‘ Philosophy: First solve the problem, then write the code
- π Interests: Fintech, Explainable AI, Fraud Detection, Data Science
A complete end-to-end data science project to simulate bank customer data, perform analysis, predict high-risk loan defaults, and explain predictions using SHAP.
π Includes an interactive Streamlit dashboard for explainability.
π View GitHub Repo Β»
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