Yashi Rai

🎬 Movie Recommendation System

– Developed a content-based Movie Recommendation System using Python, leveraging TF-IDF vectorization and cosine similarity to generate top 10 personalized movie suggestions

– Processed and analyzed movie metadata (titles, genres, keywords, cast) with data cleaning, preprocessing, and feature engineering to build an efficient recommendation engine

– Implemented NLP techniques such as tokenization and feature extraction to enhance recommendation accuracy and relevance

– Utilized Scikit-learn for similarity computation and optimized the model for faster and efficient performance

🔗 GitHub Repository: View on GitHub

🤖 AI Career Navigator

– Built an AI-powered resume analyzer that outputs missing skills, a 4-week roadmap, and a job readiness score for a selected role

– Integrated OpenRouter Chat Completions REST API using async JavaScript (fetch) with safe JSON/error handling

– Improved reliability by handling 404 model issues and 429 rate-limits with fallback models, retries, and wait/backoff

– Designed a responsive, modern UI with clear loading states and accessible output updates (ARIA live region)

🔗 GitHub Repository: View on GitHub

📊 Data Scientist (Python) – NIET College (NCET+)

– Successfully completed an intermediate-level Data Science program with a focus on Python, data analysis, and practical applications

– Developed strong problem-solving skills through hands-on learning and achieved 100% completion