Pulkit Sharma

I've built an underwater object detection pipeline at Indian Navy WESEE, processing roughly 5,000 underwater images and evaluating YOLOv11, RT-DETR, and RetinaNet using mAP and Precision-Recall metrics.

At BigOHealth and the Automobile Association of India, I analyzed application, operational, and performance data to identify trends, recurring issues, process inefficiencies, and improvement opportunities. I prepared analytical reports, monitoring documentation, and data-driven recommendations in collaboration with developers and cross-functional teams.

I've also supported application deployment, system configuration, troubleshooting, validation, and technical documentation at SOG Federation.

Through projects including Uber Ride Demand Analysis and an IPL Data Analysis Dashboard, I've used Python, SQL, Power BI, Pandas, NumPy, and Matplotlib to clean data, uncover demand and performance patterns, and communicate insights through visual dashboards.