Computer Science undergraduate
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Computer Science undergraduate (CGPA: 9.52/10) with experience building ML-powered backend systems, REST APIs, and data pipelines. Shipped production applications including a fintech analytics app with a deployed cash-flow forecasting model (5.2% MAPE) and a transaction classifier (93.1% accuracy). Experienced in Python, scikit-learn, statsmodels, Flask, React, and SQL.
Science / Full-Stack roles in AI-driven fintech and SaaS.
B.Tech in Computer Science and Engineering – SRM Institute of Science and Technology (2023-01 – 2027-12)
