Summary
Theophilus Siameh is a Machine Learning Engineer with 10 years of experience applying big data technologies and predictive analytics to financial risk and decision-making problems across industry and academia. He combines deep statistical training (MS in Mathematics & Statistics, PhD work in Computational Engineering) with hands-on expertise in Spark, Hadoop, Python/Scala, R and AWS to build scalable regression and data-mining solutions. Comfortable translating technical insights into business impact, he has empowered organizations on two continents to leverage advanced models for smarter decisions. Notably, his background bridges rigorous academic research and production-grade engineering, enabling robust, reproducible ML workflows for complex, risk-sensitive domains.
10 years of coding experience
Master’s Degree, Mathematics and Statistics, Master’s Degree, Mathematics and Statistics at East Tennessee State University
High School, Business/Management, High School, Business/Management at Bishop Herman College
Bachelor’s Degree, Mathematics and Computer Science, Bachelor’s Degree, Mathematics and Computer Science at University of Ghana
Doctor of Philosophy - PhD, Computational Engineering, Doctor of Philosophy - PhD, Computational Engineering at Mississippi State University
English