Purva Chaudhari

I’m an MBA (Business Analytics) student with a Computer Science background, and I love transforming complex data into business-ready decisions. I focus on turning raw information into clear, measurable insights through visualization and predictive analytics.

In my Data Analyst internship (07/2024–08/2024, Remote), I conducted district-level crop yield analysis to support policy recommendations. I cleaned and prepared large datasets and used Python and R for analysis and visualization, leveraging pandas and NumPy and ggplot2 to uncover crop production trends.

My projects reflect how I work end-to-end: building pipelines, preparing text and structured data, and communicating results. I created a web scraping and sentiment analysis system using Python, BeautifulSoup, NLP, and Pandas, then designed dashboards and visualizations with Matplotlib and Seaborn, including sentiment trend views in Power BI.

I’m comfortable working with modern data and analytics tooling—SQL, Power BI, Excel, ETL, and AI/ML—and I keep expanding my stack through hands-on learning. I’m especially drawn to roles where strong data hygiene, thoughtful analysis, and actionable reporting are the standard.