- Advanced Machine Learning
- Deep Learning & Computer Vision
- Data Structures and Algorithms
- Machine Learning, Data Analysis, Hackathon Projects
- Competitive Programming (CodeChef, HackerRank)
- Frontend Development with Flask
📫 Reach me at: [email protected]
- B.Tech in Computer Science & Engineering – Bengal College of Engineering and Technology (CGPA: 8.59)
- Intermediate (Science - PCMB) – Kandi Raj High School (82.2%)
- Matriculation – Nimgram Beluri HS School (79.8%)
- Data Science Intern @ Celebal Technologies (Jun–Aug 2024)
- Built Customer Churn Prediction Model with Python, EDA, categorical encoding, normalization & Random Forest.
- Enhanced skills in data manipulation, visualization, and deployment.
- Easydiagnos: Feature Selection for Automatic Diagnosis in Smart Healthcare (July ’25)
- XAI & Anomaly Detection for Predicting Asteroid Hazards (Mar ’25)
-
ECG Image Classification & Analysis
Flask app using YOLO + Random Forest to classify ECG images. -
Football Match Outcome Predictor
Predicts match winners using Random Forest & Flask-based UI. -
Sales Data Analysis with Power BI
Analyzed 4 years of sales data, built interactive dashboards with key insights.
- 🥇 Winner – International Hackathon GeoHack24 (IIIT Bhubaneswar & IEEE Kolkata)
- 🥇 Winner – Think AI Hackathon: AI ODYSSEY 1.0
- 🥉 5th Place – Data Analytics Hackathon @ IIT Kharagpur
- 🥈 Runner-up – Code Jam Hackathon @ Code Vision BCET
- 👨💻 Participated in Flipkart Grid 5.0, Hack4BioHeritage, Innovatrix24, DataNexus, Data Quezt, etc.
- 🏅 Certificates
