A data ecosystem from multiple disjointed unstructured and structured data sources was built for the world’s largest entertainm…

For a leading global technology infrastructure provider, regularized random forests and ‘SVD + Univariate Forecasts’ were combi…

Baseline forecasts for 3000 SKU’s were generated for the world’s third-largest jewelry manufacturer. New SKUs were …

A Machine Learning Rules & Notification engine was built for a leading transnational consumer goods company, which helped m…

Process Mining was used to identify bottlenecks for a leading snack and beverage manufacturer, which resulted in savings of $1 …

Combined forecasts from different algorithms were done to improve demand forecasting accuracy for a leading home appliances and…

A reliable, automated forecasting system was built for a PC, imaging, and printing products provider, which resulted in 8x fast…

An Early Warning System based on Logistic Regression was created to predict downtime in processing line for a leading snack foo…