Harika Kotthagorla

I’m a detail-oriented Data Scientist and AI/ML Engineer with hands-on experience building end-to-end machine learning pipelines, deep learning models, and LLM-powered applications. I translate complex data into actionable business insights, backed by a strong foundation in statistical modeling, feature engineering, and EDA.

In my Data Science Intern role, I built and deployed ML classification models achieving 92%+ accuracy using Scikit-learn and Python. I engineered 15+ features that reduced model error by 18%, trained TensorFlow/Keras neural networks for handwritten text recognition (98% accuracy on 60,000+ images), and delivered reproducible experiment documentation for my team.

On the GenAI side, I designed and deployed an end-to-end AI exam proctoring platform (500+ concurrent sessions) with real-time monitoring, WebSocket communication, and automated evaluation using OpenAI APIs and LangChain. I also build production-ready solutions with REST APIs (Flask), fast retrieval via optimized MongoDB queries, and careful model evaluation for business-critical outcomes.