Summary
Ismail Hossain is a data analyst and biostatistician with four years of experience applying statistical science to public health, academic research, and product-focused data problems. He currently builds dashboards and forecasting models at the University of Wyoming, translating research activity and indirect cost trends into actionable insights for leadership. Previously he drove high-impact biostatistics and bioinformatics work at LSU Health Shreveport, contributing to Nature Mental Health research and cutting analysis costs through reproducible pipelines in R and Nextflow. Earlier roles span NLP, topic modeling, and automated data-quality systems as a senior data scientist in industry, plus delivery of 134 freelance projects that sharpened his practical problem-solving. With graduate training in applied mathematics and applied statistics, he blends rigorous modeling (Prophet, regression) with front-end visualization (Power BI) to close the gap between analysis and decision-making. Notably, he pairs academic publishing experience with product-minded engineering, making complex research workflows both cost-effective and operationally useful.
4 years of coding experience