Data Science & Engineering — remote sensing, air quality modelling, sensor calibration, time-series analysis, reproducible tooling.
I design and deploy full data pipelines for environmental monitoring — from noisy sensor/satellite ingestion to clean, aligned time-series with validated PM2.5 estimates.
Skilled in scalable ETL, spatial analysis, model training (ML/DL/NLP/LLM), and deployment via containerised services.
Focused on reproducibility, automation, and production-readiness.
🎓 Education B.Tech — Computer Science & Technology, UEM Kolkata · CGPA 8.8
Python • C • OOP • DSA
pandas • numpy • matplotlib • scikit-learn
PyTorch • TensorFlow • Keras
Flask • REST API • LangChain • RAG
Docker • AWS • MLOps • GitHub Actions
SQLite • MongoDB • NetCDF
(worked with IIM Bangalore & IIT Bombay in Data Science roles)
Sensor Live Dashboard — View Live
Real-time PM2.5 sensor network monitoring, deployed on AWS EC2.
airpy-tool — Open-source Python package for air quality data processing & utilities.
pip install airpy-tool