Om Patil

I’m a Computer Engineering graduate building impact through data analysis, SQL reporting, and dashboard development, with a strong addition of machine learning and predictive modeling. I’ve worked across structured and unstructured data—cleaning, validating data quality, running exploratory analysis, and turning insights into clear reports.

In my internship experience, I strengthened both performance and reliability. As a Software Development Intern, I helped reduce an IPO platform page load time by 25% using lazy loading and route-level code splitting, and I built 15+ reusable React components to cut repeated frontend work.

On the data side, my Data Science internship focused on scalable preparation and measurable modeling improvements. I analyzed 50K+ records with SQL and exploratory analysis, trained regression and classification models with cross-validation and hyperparameter tuning, and improved prediction accuracy by 12%—while also building 4+ Power BI dashboards covering 10+ KPIs to reduce manual reporting by 80%.

I also enjoy shipping real products from end to end. I built a real-time log analytics and classification platform using Python and FastAPI, created an HR analytics and attrition dashboard with Power BI DAX and drill-downs, and developed sentiment and PnL prediction with TF-IDF and classification models (78% accuracy). I’m excited to keep combining disciplined data engineering practices (ETL, validation, modeling) with actionable analytics and ML.