Selected for a 6-month intensive program mastering the end-to-end data lifecycle. Developing and deploying scalable Machine Learning and GenAI solutions using Azure, Databricks, and MLflow for enterprise-level business challenges

Utilizing Excel and Power BI daily for data analysis and reporting to support procurement operations. Verifying and updating supplier data within internal systems.

Developing a predictive model using SAP and python to analyze large volumes of data, identifying correlations between New Product Introduction (NPI) parameters, quality metrics, and operational costs. Conducted data analysis on quality issues by analyzing relevant datasets. Presented findings and insights through PowerPoint presentations to stakeholders.

Investigated state-of-the-art text-to-image generation methods, including Midjourney, DALL-E, and Stable Diffusion. Conducted in-depth analysis of 10+ scientific papers to understand the underlying processes and architectures of generative AI models.