Nivetha Murugesakani

At GradTwin, I gathered, cleaned, preprocessed, and validated datasets using Python and MySQL. I analyzed data for trends and patterns, then created reports and visualizations to support data-driven decisions.

For my E-Commerce Recommendation System project, I cleaned a ratings dataset and built a collaborative-filtering recommendation engine using SVD in Python. I developed an interactive dashboard with Streamlit and Plotly.

On my Online Review Analytics - PVR Cinemas project, I collected data through web scraping, processed CSV datasets, and performed sentiment analysis. I presented insights through dashboards and visualizations for a non-technical audience.

For my final-year Sign Language Recognition project, I developed a Python deep learning model for real-time gesture recognition. I also gained exposure to web development at Indras Academy, assisting with UI fixes and cross-browser compatibility checks.