About
I am an aspiring data engineer, analyst and programmer with a good foundation in computer science and algorithms. My interests lie in data-driven problem solving, optimization, and operations research. I am a quick learner and will do justice to any responsibility given to me.
Education
NIT Durgapur
Master of Technology in Operations Research
Final Year Student August 2024 – May 2026
Master of Technology in Operations Research
Final Year Student August 2024 – May 2026
CGPA: 9.14 / 10.0
Jalpaiguri Govt. Engg. College
BTech in Computer Science & Engineering
July 2019 – May 2023
BTech in Computer Science & Engineering
July 2019 – May 2023
CGPA: 8.94 / 10.0
Internship
GeeksForGeeks - Technical Content Writer July 2022 – March 2023
- Authored over 10+ technical articles on Bash scripting and Linux system operations. The topics included process signals, CPU/Memory utilization analysis.
Projects
Real-Time Manufacturing Process Analytics using Azure Databricks
- Developed an end-to-end real-time ELT pipeline for simulated factory IoT sensors using Azure Databricks and Delta Live Tables (DLT)
-
Key contributions:
- Ingested continuous PLC telemetry into ADLS Gen2, applied structured streaming with watermarking to handle time lags, and transformed data across Bronze–Silver–Gold layers.
- Created Power BI dashboards (DirectQuery) to visualize production quality and machine health using live Statistical Process Control charts and KPIs.
- GitHub Repository: Link.
Reinforcement Learning for Improving Nearest Neighbor Solutions to the TSP
- Developed a Deep Reinforcement Learning model (Actor–Critic architecture) to improve heuristic solutions for the Travelling Salesman Problem (TSP).
- Trained the RL agent on Google Colab GPU to learn 2-opt-like improvement strategies over Nearest Neighbor tours.
- Achieved consistent tour-length improvements of around 6% on average compared to the baseline heuristic, demonstrating the ability of RL to learn constructive optimization behavior.
- GitHub Repository: Link.
For more projects, check the Projects page.
Publication
Easypay: A User-Friendly Blockchain-Powered Payment Gateway Published in: Cluster Computing (Springer), May 2024
- Built a decentralized crypto payment system using Solidity smart contracts, Ethereum blockchain, and MetaMask wallet integration.
- Implemented dynamic QR code generation linked to payment URLs to enable seamless peer-to-peer crypto transactions.
- Achieved 95% performance, 100% accessibility, and 80% SEO score on Google PageSpeed Insights.
Academic Achievements
Qualified GATE 2024 (Computer Science) February 2024
Secured AIR 3083 in WBJEE 2019 among 1.1 lakh candidates July 2019