Summary
Renel Chesak is a full-stack data science consultant with nine years of cross-industry experience, currently driving data science and engineering projects at Bouvet ASA from Stavanger. He combines rigorous academic training (MSc in Data Science, 3.98 GPA) with hands-on skills in Python, R, SQL, cloud services, Docker, and distributed computation to turn complex data into production-ready ML and data engineering solutions. Renel has helped design core data products, led client workshops, and evangelized data science while delivering measurable improvements to products and operations. His background in biology and early work on public-sector and NGO projects—such as predicting E. coli at Chicago beaches and mapping food insecurity—inform a practical interest in using ML for social good. Known for analytical depth and a relentless curiosity, he aims to deepen expertise in data engineering while maintaining broad prototype-level fluency across ML and product domains.
10 years of coding experience
3 years of employment as a software developer
MSc, Data Science, 3.98 / 4.0, MSc, Data Science, 3.98 / 4.0 at DePaul University
BSc, Biology, 3.73 / 4.0, BSc, Biology, 3.73 / 4.0 at University of Louisville
English, Norwegian