🎓 M.Sc. Data Science @ NMIMS | B.Sc. Computer Science (Honors) + Minor in Finance
🔧 Interested in Data Engineering, Backend Systems & Cloud
📊 Building systems that make data reliable, usable, and scalable
I'm interested in the systems behind data — how information is collected, validated, processed, and made available for applications and decision-making.
My primary focus is Data Engineering, with an interest in backend systems, databases, distributed data processing, and cloud. I'm also exploring ML as part of larger data-driven systems.
I enjoy building practical systems and automating things that shouldn't have to be done repeatedly.
- 🧾 AttendEase — Attendance system used by 3,000+ users, with automated processing, validation, and reporting.
- 📦 Stock-er — Inventory and billing system with MongoDB Atlas, multi-tenancy, role-based access, and barcode workflows.
- 💰 FRIE — Financial reliability decision-support system for lending and insurance.
Data: SQL · Python · Spark · Hadoop · MongoDB
Cloud: AWS · Azure
Tools: Git · Docker · Linux · Shell Scripting
Development: C#/.NET · JavaScript · MERN


