Nissan Data Platform: Developed secure data ingestion APIs using AWS Lambda, Boto3, and Snowflake for processing daily data requests.
Implemented test coverage for infrastructure using Pytest and Moto to prevent production bugs.
Nomura Capital: Worked on ETL pipelines with Apache Spark/SQL for financial data processing.
Optimized storage costs by migrating data to MinIO with Parquet partitioning and enabled query execution via Dremio.
Worked on an ensemble learning model for employee attrition prediction.
Deployed a FastAPI backend for real-time model inference.
Developed a Computer Vision model for cancer detection.
Deployed the solution to Azure App Service for model access.