- Using the historic monthly global order intakes, sales data and external economic indicators , forecastingthe demand prediction of Industrial Hydraulic business Unit.- Extensive use of Darts and Pandas Library for timeseries analysis, preprocessing and forecast modelbuilding.- Refactored the existing model building, training, and inference codebase into modularized componentsusing the strategy design pattern.- Utilization of ML pipeline in Azure Synapse Analytics to… Show more - Using the historic monthly global order intakes, sales data and external economic indicators , forecastingthe demand prediction of Industrial Hydraulic business Unit.- Extensive use of Darts and Pandas Library for timeseries analysis, preprocessing and forecast modelbuilding.- Refactored the existing model building, training, and inference codebase into modularized componentsusing the strategy design pattern.- Utilization of ML pipeline in Azure Synapse Analytics to establish with data source, run sweep jobs, log the best model and inference the models. Show less

Tutoring students of Introduction to programming course (C++) in exercises sessions and grading their course assignments.