Same Day Churn Classification for Mobile App Data

Description: We are looking for an experienced Data Scientist to build classification models that predict "Day 0 Churn" (users who abandon the game on the exact same day they download it) for a mobile game. The Data: You will be provided with CSV files. Project Requirements & Deliverables: We expect a complete, end-to-end Data Science workflow delivered in a well-documented Jupyter Notebook. The notebook must include Markdown cells explaining the rationale behind your technical decisions. Your workflow must explicitly cover: Exploratory Data Analysis (EDA): Insights into the dataset. Data Preprocessing: Handling missing values and feature selection. Model Training: Training and tuning classification models separately for the iOS and Android datasets. Evaluation: Reporting train and test metrics (choose the most suitable metrics for an imbalanced binary classification problem). Error Analysis: A brief analysis of where and why the models are making incorrect predictions.