At Elevvo, I collected, cleaned, and validated business datasets using Python and Pandas. I used exploratory data analysis and statistical methods to identify patterns, trends, and correlations.
I also prepared data for predictive modeling through feature engineering and preprocessing, then created visualizations and dashboards to communicate findings. I documented the processes and analytical results to support reproducibility.
In my Heart Disease Prediction project, I used XGBoost to model heart-disease risk and evaluated the results with accuracy, recall, and ROC-AUC. In my House Price Prediction project, I analyzed housing data and built an XGBoost regression model.
I built a Sales Performance Dashboard in Power BI to explore revenue, product, regional, and sales trends. I’ve also used RFM analysis to segment customers and identify high-value and at-risk groups.
