kunika chugh

I’m a B.Tech undergraduate in AI & Data Science (2027) with hands-on experience in machine learning, data analysis, and Python programming. I enjoy turning messy data into clear insights and practical, data-driven solutions.

Currently, I’m interning as a Data Science Intern at Unified Mentor, where I’ve performed student segmentation using K-Means to improve course recommendations for 500+ learners. I also analyzed shipping route data to identify inefficiencies and proposed optimization strategies, reducing redundancy.

I take an end-to-end approach—doing data preprocessing, EDA, and visualization to derive actionable business insights. I build and evaluate ML models using Python, Pandas, and Scikit-learn for both classification and regression tasks.

In my projects, I develop and deploy models and interactive tools: a Streamlit dashboard for instructor performance & course quality, a house price prediction regression model, and a heart disease classification model. I’m especially motivated by work that blends strong analytics with real impact.