Worked on a project focused on market segmentation of electric vehicleImplemented Principal Component Analysis algorithm and Self-Organizing Maps for dimensionality reduction and cluster segments, which improved the model accuracy by 5%

Developed a high-performance tracking system leveraging YOLOv5 and Deep SORT algorithms to achieve realtime tracking with 92% accuracy and low latencyImplemented a one-shot face recognition model with 95% accuracy in detecting known faces in input video streamsIn-depth research on various OpenCV tracking algorithms was carried out to identify their optimal application contexts and performance characteristicsSecured the 4th prize out of 30+ teams in the Nokia Bangalore University Connect for the project

Conducted QA testing using Postman, managing API calls, and validating functionalities to ensure software qualityCollaborated with the development team to identify and report bugs, enhancing overall system reliability