Emmanuel Atunde
Driving business strategy through data and analytics
New to Contra
Emmanuel is ready for their next project!
Education Program Evaluation-Children with Disabilities
This project evaluates an education program targeting children with disabilities using real-world data. It demonstrates how to assess program outcomes, identify gaps in access, and propose actionable improvements using Julius AI and Excel
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This is the IBM Telco Customer Churn Prediction ML model
In this project here are the list of things i did
1. Full exploratory data analysis (EDA) with visual insights on churn drivers
2. A feature engineering pipeline handling categorical encoding, scaling, and class imbalance with SMOTE
3. Multiple trained classifiers compared head-to-head (Logistic Regression, Random Forest, XGBoost)
4. SHAP explainability showing which features drive each individual churn prediction
5. A business-ready summary and recommendations
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Time series forecasting and demand planning for daily-level FMCG sales transactions
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21
E‑commerce Customer Churn Analysis
This project analyzes customer churn on an e‑commerce platform using a real‑world, partially unclean dataset. It demonstrates how to define, calculate, and visualize churn using SQL for data wrangling and Power BI for dashboarding. You can get the full analysis here >>>
https://github.com/eatunw/ecommerce-churn-analysis
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