Analytical models, statistical applications, and data engineering solutions
← Back to All ProjectsPredictive modeling to identify customers at risk of churn using classification algorithms and feature engineering.
Time-series forecasting and interactive dashboard for sales trends. Incorporates ARIMA models and seasonal decomposition for accurate predictions.
End-to-end ETL pipeline for data ingestion and transformation. Processes multi-source data and loads into a scalable warehouse for analytics.
Statistical framework for designing, executing, and analyzing A/B tests. Includes power analysis, hypothesis testing, and confidence interval calculations.
Check out my complete repository on GitHub or read more articles on Medium.