Mohameth Gueye

Multilingual Data Engineer and Analyst with hands-on experience in Azure cloud administration, machine learning, and business intelligence. Skilled in automating resource deployment using PowerShell and Bicep, building dynamic dashboards in Power BI, and developing PostgreSQL pipelines for scalable data solutions. Currently pursuing a Master’s in Data Science at UE Potsdam, with a proven ability to lead cross-functional initiatives and deliver results in multicultural environments.

Committed to bridging technical excellence with strategic impact to support data-driven innovation.

I’ve worked extensively with data to uncover insights, drive decision-making, and support strategic initiatives. My experience includes cleaning and analyzing large datasets using Python, R, and SQL, and visualizing results through tools like Tableau and Power BI. I’ve contributed to marketing, operations, and finance teams by delivering actionable reports, forecasting trends, and identifying process improvements.

I’m detail-oriented, curious, and skilled at translating complex data into clear business narratives.

I am currently pursuing a Master’s degree in Data Science at the University of Europe for Applied Sciences in Potsdam, Germany. My academic focus includes machine learning, big data analytics, statistical modeling, and cloud-based data engineering. Through hands-on projects and coursework, I’ve gained practical experience with tools such as Python, SQL, Power BI, and Microsoft Azure.

This program is equipping me with both the technical and analytical skills needed to solve complex data challenges and support data-driven decision-making across industries.