A machine learning program that estimates the amount of loan to be issued as seen in the dataset given. This program uses a simple hist gradient boosting regressor algorithm to estimate the likely loan user should be eligible for.
Full production-grade, Python-based ETL workflow built for Sutter Health’s ABSMC campuses. Automates bidirectional data migration across MS Access, SQL Server, Excel, and Revit BIM using mainly pyodbc, SQLAlchemy, Pandas, Prefect, BIMLink, and pyRevit. Enables seamless facility operations, real-time BIM sync, and audit-ready reporting.
Sleep health data analysis pipelines.
End-to-end payments analytics on synthetic Indian transaction data - Python ingestion, PostgreSQL medallion warehouse, dbt fraud-risk marts, automated QA (pytest + dbt tests via GitHub Actions), along with Power BI dashboards.
End-to-end MLOps platform for personalized movie recommendation. It integrates FastAPI for model serving, Prefect for workflow orchestration, and hybrid filtering algorithms to predict user preferences. Features automated data validation, reproducible training pipelines, & a Dockerized CI/CD pipeline.
[WIP] Real-time trading card detection & identification + CSV export
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