Summary
Surendran Selvaraju is a Senior Data Scientist with 7+ years of cross-industry experience applying machine learning and statistical modeling across oil & gas, telecom, biology, and education. He combines research-grade expertise (ML Master’s and ongoing PhD work) with hands-on delivery at Schlumberger and regional firms, leading teams to productionize algorithms, perform reliability and risk analyses, and translate model behavior for business stakeholders. His background spans NLP, reinforcement learning, computer vision and end-to-end MLOps, including leadership roles on impact-focused Omdena projects and academic teaching appointments. Known for bridging domain knowledge and engineering, he designs hybrid algorithms that stitch multiple models together and builds monitoring processes to keep models reliable in production. Based in Selangor, Malaysia, he brings a pragmatic mix of research rigor and operational discipline, often surfacing non-obvious data quality or deployment constraints early in projects.
7 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy - PhD Machine learning, Doctor of Philosophy - PhD Machine learning at Universiti Teknologi Malaysia
Postgraduate Diploma Business Administration and Management General, Postgraduate Diploma Business Administration and Management General at Kingston International College
Micromaster Logistics Materials and Supply Chain Management, Micromaster Logistics Materials and Supply Chain Management at Malaysia University of Science and Technology
Master’s Degree Information Technology (Machine Learning), Master’s Degree Information Technology (Machine Learning) at Multimedia University