Implemented a regression-based neural network using the Adam optimizer to model non-linear relationships in insurance data.
MAE reduced from ₹6318 to ₹3213
Developed and fine-tuned an ensemble-based regression model (Random Forest) to predict used machinery prices.
R² improved from 0.83 to 0.88, RMSLE from 0.42 to 0.29
Built and evaluated a logistic regression classifier for cardiovascular risk prediction.
Accuracy improved from 67% to 83%, F1-score of 86%
Artificial Intelligence and Machine Learning
NIT Agarpara | Aug 2024 – July 2028
Activities: Member of Coding Club | Badminton, Chess, Sudoku
Complete A.I. & Machine Learning, Data Science Bootcamp, Udemy (2025)
100 Days of Code: The Complete Python Pro Bootcamp, Udemy (2025)
Java Masterclass 2025: 130+ Hours of Expert Lessons, Udemy (2024)
I'm always interested in hearing about new projects and opportunities. Feel free to reach out!
Email: [email protected]