Himanshu Patil

I’m a Data Analyst and final-year Computer Engineering student with hands-on experience in Python, SQL, Tableau, and Power BI. I enjoy turning raw data into clear stories that support data-driven decision-making.

As a Data Analyst Intern at Neo Soft Technologies, I built ETL pipelines to automate daily report generation, reducing manual reporting time for cross-functional teams. I also redesigned 3+ internal dashboard UI components in Power BI/Tableau to improve accessibility and self-service reporting for non-technical stakeholders.

In my Hospital Patient and Operations Analytics project, I analyzed 5,000+ patient records with Python and MySQL to identify a 23% higher ICU readmission rate. I built an automated KPI reporting pipeline using Pandas and openpyxl, cutting manual Excel reporting effort by ~4 hours/week, and created an interactive Power BI dashboard across 6 hospital departments.

On my Procurement Intelligence Platform, I developed a full-stack analytics platform serving 100+ procurement records via a REST API using FastAPI and SQLAlchemy, with automated data persistence and Swagger documentation. I implemented 39 automated tests with PyTest and set up CI/CD using GitHub Actions, Docker, and deployment on Render, and I also built a House Price Prediction model using Scikit-learn for regression.