At Cognifyz Technologies, I cleaned and analyzed structured datasets using Python and Pandas, identifying trends and business-relevant insights. I created visualizations to communicate findings and support data-driven decisions.
On my Walmart Sales Dashboard project, I used Power BI and SQL to analyze revenue, profit, products, regions, and performance over time. I developed data models, relationships, and DAX measures to track business KPIs and identify trends.
I built RetentionIQ AI, a customer retention and churn analytics solution using EDA, feature engineering, and Random Forest. Its interactive Streamlit application turns predictive outputs into actionable retention insights.
As a Python Developer Intern at The Developers Arena, I developed Python-based data-driven applications and performed data cleaning, transformation, and validation. I also used Streamlit and Git/GitHub workflows to build interactive data solutions.
