Summary
Ronald Adomako is a doctoral researcher and versatile engineer with over a decade of hands-on experience blending civil engineering, data science, and Python software development. He applies machine learning and computational optimization to structural reliability, fintech, and energy problems, while also building database-backed full-stack and microservice applications with SQL/NoSQL and Oracle Autonomous DB. His background spans academia and industry—from teaching graduate data science courses and developing structural design software to producing automated data-quality models for Chevron using AutoML. Ronald has led projects and startups, managed multidisciplinary teams in construction and blockchain mining operations, and repeatedly translated complex engineering problems into automated computational workflows. Known for humility and a focus on integrity, he pairs rigorous technical depth (MSc Imperial College; MS Data Science; ongoing doctorate) with a rare blend of teaching, project leadership, and production-grade coding. An edge: he has converted classical civil engineering formulations into scalable Python tools used for global reinforced concrete design and reliability analysis.
10 years of coding experience
7 years of employment as a software developer
Doctor's Degree, Civil Engineering, Doctor's Degree, Civil Engineering at Missouri University of Science and Technology
Master of Science (MSc), General Structural Engineering, Master of Science (MSc), General Structural Engineering at Imperial College London
Art & Art History, Art & Art History at Colgate University
High School of Art & Design
M.S. Data Science Engineering, M.S. Data Science Engineering at The City College of New York
B.S. Civil Engineering, Structures, B.S. Civil Engineering, Structures at Rensselaer Polytechnic Institute
Spanish, akan| twi/ fanti, Norwegian