Rajesha Poojary

I’m a final-year B.Tech Data Science student at Vidyashilp University, Bangalore, with practical experience across data analysis, AI, machine learning, deep learning, and model development. I’ve focused on turning data into actionable outcomes that teams can use immediately.

In my Python/Django Developer Intern roles at Tech QRT, I built a full-stack Mini HR Management System using Python and Django with a modular multi-app architecture. I designed responsive interfaces, implemented CRUD features, set up authentication/session management, and delivered RESTful APIs with Django REST Framework and Postman.

As a Data Science Intern at Rinex, I built and optimized machine learning models for predictive analytics and data-driven decision-making. Using Python, pandas, and scikit-learn, I did preprocessing, feature engineering, and evaluation to improve accuracy and efficiency.

My projects reflect my interest in applied AI and research-grade experimentation. I built deepfake detection with EfficientNet-B4 in PyTorch, developed a Copycat CNN attack framework using NPDD-SL methodology, and created MoodLint, an emotion-aware debugging extension with real-time emotion detection and a mood analytics dashboard.