Emmanuel Thomas

My Healthcare Analytics Intelligence project used Python, Pandas, and SQL to prepare, clean, and validate approximately 597,774 healthcare records. I analyzed operational and financial metrics across MySQL and Snowflake and developed interactive Power BI dashboards with DAX measures. For Global Sales and Supply Chain Analytics, I cleaned and validated 180,519 transaction records using Python, Pandas, and Microsoft Excel. I also created SQL analytical views in Snowflake and designed Power BI dashboards using Power Query. As a Python Programming Intern at REALWEB, I applied Python to structured data processing and preparation. I validated and tested outputs and investigated errors to support accurate data manipulation and reliable workflows. I also worked on MossClean, an AI-powered autonomous surface-cleaning robot using YOLOv8 for surface detection. The project included a web-based monitoring system on a Raspberry Pi platform.