Ashish_ Rangra

On my Customer Churn Intelligence project, I used SQL and Pandas to prepare customer data, then compared Logistic Regression and Random Forest models using precision, recall, and ROC-AUC.

I created a Streamlit app that presents churn risk and its main reasons, helping non-technical teams plan retention actions.

For my Customer Sales Analysis project, I analyzed customer and sales trends and built an interactive Power BI dashboard with DAX measures, KPIs, and filters.

I also built a plant growth prediction system using environmental and soil factors, comparing regression models and using statistical analysis and visualizations to identify growth drivers. I’m looking for a Data Analyst or entry-level ML role where I can learn fast and add value from day one.