Business Case: Aerofit - Descriptive Statistics & Probability
This project analyzes AeroFit’s treadmill customer dataset to uncover patterns in demographics, fitness behaviour and income & to profile customers for each treadmill model (KP281, KP481, KP781). The analysis includes descriptive statistics, probability calculations and visualizations to provide insights for targeted marketing & product suggestions
Business Case : Aerofit - Descriptive Stats & Probability
Business case study - Data Science and machine learning
Analyzed customer characteristics using user counts, probabilities, and conditional probabilities to profile target audiences for AeroFit's treadmill portfolio. Delivered actionable insights to recommend the most suitable treadmill model—entry-level, mid-level, or advanced—to new customers, enhancing product alignment with user needs.
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