Ph.D. in Statistics. Enjoy transforming raw data into actionable intelligence. Thrive on turning numbers into narratives that inform and inspire!Analysis:- Statistical/ML model development- Data Analytics- Experiment Design [A/B Testing, Lift Testings, Geo Experiments, Multi-variant Testings, Synthetic Control, Diff-in-diff, etc.]- Campaign Measurement [Casual Inference Analysis, Uplift Modeling, Time Series Forecasting, etc.]- Customer Analysis (Segmentation, Acquisition & Retention, Recommender System, Churn Prediction)Tools:- Languages: Python (Pandas, Numpy, Scikit-Learn, etc.); SQL(MySQL, PostgreSQL, Redshift, AWS, Hadoop, etc.) - Visualization: Tableau, Python (Matplotlib, Plotly, Seaborn), R Shiny, PowerBI, etc.