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
7 years of employment as a software developer
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