• Leding the transition of the company’s inventory and consumption forecasting product from an analytical model to a machine learning-driven approach, utilizing decision tree models such as Random Forest and Gradient Boosting, which enhanced prediction accuracy and operational efficiency.• Analyzing model outputs to assess performance, identify improvements, and present actionable insights to stakeholders.• Directing a research initiative for a new dental imaging project, investigating computer vision models for object detection and segmentation tasks, including developing and optimizing deep learning models for X-ray image classification.• Managing and processing large datasets using Python, SQL, Power BI, and Excel within Amazon clusters, ensuring data integrity and efficient workflows.