Customer Shopping Trend Analysis
An exploratory data analysis project to uncover customer purchasing behaviors, seasonal trends, and demographic preferences. Used Python and visualization libraries to generate actionable business insights.
Customer Churn Analysis
A data analysis and machine learning project focused on predicting customer churn. Performed EDA to uncover churn patterns, engineered features, and applied classifiers to identify at-risk customers.
Employee Attrition Prediction
Developed a predictive model to identify key factors leading to employee turnover. Utilized data preprocessing, exploratory analysis, and machine learning algorithms to assist HR in retention strategies.
Heart Disease Prediction
A machine learning project designed to predict the likelihood of heart disease using medical data. Involved data cleaning, feature engineering, and applying predictive models.
Open Source
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