Built a machine-learning model that predicts diseases from symptoms with high accuracy.
Cleaned, preprocessed and trained models using classification algorithms & hyperparameter tuning.
Deployed the model as an API so users can check their risk instantly.
Developed a forecasting model that predicts weekly product demand using time-series ML.
Improved inventory decisions & reduced stockouts by analyzing patterns and seasonality.
Visualized forecasts in dashboards using Python & Power BI.
Analyzed 10k+ customer records to identify churn drivers using statistical methods.
Built predictive models to classify high-risk customers.
Provided insights with visual dashboards that improved retention strategies.
Built an end-to-end data pipeline to clean, transform, and visualize sales data.
Identified trends, outliers, and decision-making metrics like profit, CAC, CLV.
Automated monthly reporting using Python and Power BI.