Consultant
Current• Utilized Gaussian Mixture Model in R to cluster stores based on customer purchasing behaviours using variables such quantity of item categories sold at various times of day.• Developed a time series model to decompose daily sales into seasonal, trend, holiday, and weather components, providing a clearer understanding of how each factor contributes to sales fluctuations• Implemented optimization model to generate prices for food and beverage (F&B) clients and conducted training sessions to ensure wider team adoption