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Data Scientist | ML Engineer
I'm an Integrated MSc student in Quantitative Economics & Data Science at BIT Mesra with a strong focus on building production-grade machine learning systems.
My work spans statistical modeling, machine learning, and MLOps, with hands-on experience deploying scalable ML pipelines using Docker, GitHub Actions, and Azure.
end-to-end ML Projects
DSA Questions
Data Science Society
My journey in competitive programming and open source
Core competencies that drive my work
Technologies I work with
R
LightGBM
CatBoost
MLflow
Comet ML
Power BI
Snowflake
Seaborn
Pandas
Here are some of my recent works
Built a scalable hybrid recommendation system processing 70M+ user–anime ratings, combining collaborative and content-based filtering for improved recommendation accuracy. Features automated large-scale data ingestion using Azure Blob Storage and embedding-based hybrid recommender using Keras.
Live Demo
Designed and deployed a production-grade anomaly and phishing detection system with secure, automated workflows and real-time prediction capabilities. Features MongoDB Atlas–based ingestion with schema validation and MLflow integration for experiment tracking.
Live Demo
Deployed an end-to-end pipeline that forecasts student scores (R² ≈ 0.87) with automated ingestion, data quality checks, feature scaling/encoding, and model retraining. CI/CD (GitHub Actions) ships Dockerized builds to Azure Web App, with drift-ready hooks for future monitoring.
Feel free to reach out for collaborations or just a friendly chat
"Code that talks to data, systems that talk to users."