A/B Testing Analysis
Analyzed a marketing experiment using SQL to extract and clean user-level data
Performed statistical analysis using z-tests to evaluate conversion diferences
Identifed a 12.3% increase in conversion rate for variant B with statistical signifcance
Proposed rollout plan and follow-up test based on insights
Customer Churn Prediction using Logistic Regression
Built a logistic regression model to predict customer churn with 86% accuracy.
Performed data cleaning, EDA,and feature engineering to prepare the dataset.
Applied SMOTE to handle class imbalance and improve model performance.
Evaluated the model using precision, recall, F1-score, and confusion matrix.
Delivered insights to reduce churn, especially among monthly contract users.
Sales Performance Dashboard (Power BI)
Built an interactive dashboard to analyze sales KPIs across products, categories, and regions. Used DAX to calculate revenue, profit margin, year-over-year growth, and product-level trends, with a focus on business storytelling and executive-level insights presentation. Technologies: Power BI, DAX, Excel, Data Modeling, Data Visualization, Business Intelligence. Date: Jul 2025 - Present.