Summary
Salekin Mushfik is a Senior Data Scientist with a PhD in Machine Learning and a decade of experience turning large, messy datasets into actionable business insights. He has hands-on expertise in predictive modeling, time-series trend analysis, causal A/B testing, and prescriptive analytics, having worked on e-commerce problems that analyzed hundreds of terabytes to increase repeat visitor volume. Comfortable across Python, R, SQL, BigQuery and Tableau, he bridges research-grade algorithm development and production-ready solutions, including optimization and deep learning techniques. Known for clear communication with senior leaders, he translates complex requirements into measurable technical projects and recommendations. Based in Melbourne, he blends rigorous academic training from Deakin and BUET with practical startup experience, enabling both strategic thinking and pragmatic execution. An analytical generalist, he often uncovers non-obvious behavioral segments that drive high-impact growth levers.
10 years of coding experience
Doctor of Philosophy (Ph.D.), Machine Learning, Doctor of Philosophy (Ph.D.), Machine Learning at Deakin University
SSC, science, 5.00/5.00, SSC, science, 5.00/5.00 at Khilgoan Government High School
HSC, Science, 5.00/5.00, HSC, Science, 5.00/5.00 at Dhaka City College
Engineer's Degree, Electrical and Electronics Engineering, 3.62/4.0, Engineer's Degree, Electrical and Electronics Engineering, 3.62/4.0 at Bangladesh University of Engineering and Technology