Anupama Yadavalli

Aspiring Machine Learning & GenAI Intern with hands-on experience in Python, ML, NLP, and LLMs, eager to contribute in fast-paced startup environments. I enjoy building end-to-end solutions from data preprocessing to deployment, rapidly iterating on features, and experimenting with new ideas. Looking for an opportunity where I can take ownership of real-world problems, collaborate with small teams, and ship practical AI-driven products that create real user impact.

Machine Learning Intern - Edunet Foundation

(2024-05 - 2024-07)

• Built a sentiment analysis model for restaurant reviews using Python, Pandas, Scikit-Learn, and Multinomial Naive Bayes, achieving around 78% accuracy.
• Performed data preprocessing, including text cleaning, tokenization, and feature extraction using Bag-of-Words / TF-IDF representations.
• Implemented an input-based prediction pipeline for real-time sentiment classification and evaluated performance using accuracy and confusion matrix.

GenAI & Prompt Engineering Intern - Blackbucks

(2025-05 - 2025-07)

• Developed a movie recommendation system that provides up to five suggestions using content-based filtering combined with LLM-based prompt engineering.
• Designed and iteratively refined prompt templates to improve relevance, personalization, and clarity of recommendations generated by the model.
• Structured the user input flow to capture preferences effectively and integrated the model into a simple, user-friendly interface.

B.Tech - Computer Science Engineering - Andhra Loyola Institute of Engineering and Technology, Vijayawada (JNTUK) (2023 - 2026)

Diploma - Computer Engineering - Nuzvidu Polytechnic College, Nuzvidu (SBTET) (2020 - 2023)

SSC - Sree Vani E.M. High School, Vijayawada (AP-SSC) (2019 - 2020)