Summary
Shahidullah Kawsar is a data scientist with eight years of experience building production ML systems and leading teams to deliver AI-driven decision support tools, currently at IDARE in Houston. He specializes in time-series forecasting, predictive analytics, NLP, and MLOps, and has built cloud-native pipelines that cut delivery time from 12 to 4 weeks while generating six-figure revenues for public health and utility clients. Driven by a personal mission to mitigate dengue outbreaks in Bangladesh, he developed a month- and year-ahead dengue prediction system with under 5% error that informed government and hospital planning. His background spans end-to-end ETL, AutoML, CI/CD for models, and visualization in Power BI/Tableau, supported by DataCamp and AWS certifications and graduate degrees in engineering and computer science. Comfortable with Python, PyTorch, TensorFlow, and AWS SageMaker, he combines hands-on engineering with domain-focused impact and a track record of securing research funding and commercial results.
8 years of coding experience
Graduate Student, Computer Science, 3.53, Graduate Student, Computer Science, 3.53 at Boise State University
Bachelor of Engineering - BE, Electrical and Electronics Engineering, 3.42, Bachelor of Engineering - BE, Electrical and Electronics Engineering, 3.42 at Khulna University of Engineering and Technology
Master of Science - MS, Electrical Engineering, 3.86, Master of Science - MS, Electrical Engineering, 3.86 at University of South Florida
Bengali, English