About
Highly motivated Computer Science Engineering undergraduate with a strong interest in Software Engineer. Experienced in building full-stack applications, analytics dashboards, and data-driven solutions using Python. Seeking opportunities to apply technical skills to solve real-world problems.
Projects3
Smart Harvest
Analyzed multi-region crop yield data to identify environmental and soil factors. Built Random Forest and XGBoost models achieving 95%+ accuracy. Reduced manual analysis effort by 40%.
- Python
- Machine Learning
- Flask
- REST API
Expense Tracker
Developed full-stack expense tracking application. Built dashboards to visualize spending insights. Implemented forecasting features for financial planning.
- React
- Python
- Data Visualization
Lightweight Quantitative Risk Analyzer
Built a Lightweight Quantitative Risk Analyzer in Python for efficient, real-time financial risk assessment using quantitative modeling and machine learning. Implemented Monte Carlo simulations and return forecasting with a focus on low memory usage, fast execution, and numerical stability. Developed an end-to-end quantitative pipeline for data processing, risk estimation, and visualization suitable for practical deployment.
- Python
- Matplotlib
- NumPy
- Pandas
Education3
Bachelor of Technology
2022 — 2026SRM Institute of Science and Technology
Computer Science Engineering
Higher Secondary
2021 — 2022Erode Hindu Kalvi Nilayam
Computer Science
Secondary School
2019 — 2020Erode Hindu Kalvi Nilayam