Manisha Jangid

I’m a final-year Computer Science engineer with a strong academic record and hands-on experience turning data into useful AI-driven outcomes. I bring a solid foundation in Python and SQL, along with practical data analysis skills to support real engineering needs.

During my AI + Cloud Computing internship, I worked through a structured program covering Python, Machine Learning, LLM integration, and cloud deployment. I implemented NLP pipelines using TF-IDF vectorization, cosine similarity, lexicon-based information extraction, and hybrid scoring for real-world text matching.

I also built business-focused analytics through a Power BI internship, creating a Customer Shopping Behavior Analysis across 3,900 transactions with data cleaning, feature engineering, and interactive KPI dashboards. My projects include an AI-Powered Placement Preparation Copilot with a TF-IDF + cosine similarity resume-JD matching pipeline and Groq LLM integration, plus a Drug Recommendation System using sentiment analysis.