Sadman Sakib is a Senior Data Scientist with nine years of experience applying machine learning, deep learning, and scalable data engineering to healthcare and environmental signal problems. Currently at EXL Health, he builds production-ready ML solutions on Azure Databricks and HIVE, combining PySpark, SQL, and automated hyperparameter tuning to improve clinical decision-making and identify high-risk, high-cost members. His background includes acoustic deep learning for marine species classification and academic research/teaching, reflecting strong signal-processing and mentorship skills. He holds an MSc in Computer Science (AI) with a perfect 4.0 GPA and a track record of turning published ML methods into deployable proofs-of-concept. Known for rigorous feature engineering, query optimization, and clear technical documentation, he bridges research-grade modeling with production constraints to deliver measurable business impact.
9 years of coding experience
3 years of employment as a software developer
Master's degree, Computer Science (specialization in Artificial Intelligence), CGPA 4.00 out of 4.00 (94.6% marks), Master's degree, Computer Science (specialization in Artificial Intelligence), CGPA 4.00 out of 4.00 (94.6% marks) at Lakehead University
Bachelor of Science - BS, Computer Science, CGPA 3.66 out of 4.00, Bachelor of Science - BS, Computer Science, CGPA 3.66 out of 4.00 at Ahsanullah University of Science and Technology
Contributions:8 commits, 7 pushes, 1 branch in 1 year 5 months
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