Summary
Ehsan Negahbani is a data scientist with an 8-year track record applying physics- and neuroscience-rooted quantitative methods to real-world problems across tech and public sector organizations. He builds production-ready ETL pipelines, interactive visualizations, and ML models that have improved app responsiveness, reduced calibration costs, and increased user engagement (e.g., a 23% uplift in a public health portal). His strengths span time-series and signal processing, causal and Bayesian analysis, and geospatial modeling—skills he applied to optimize positioning systems at NextNav and to design experimental neuroscience studies with measurable clinical effects. Comfortable collaborating with product and engineering teams, he translates stakeholder questions into hypothesis-driven analytics and deployable solutions on AWS and SageMaker. Notably, he has turned academic expertise into operational impact, from ARIMA forecasting in research to shipping dashboards and tooling that streamline cross-team decision-making.
8 years of coding experience
14 years of employment as a software developer
Doctor of Philosophy - PhD, Applied Physics, Doctor of Philosophy - PhD, Applied Physics at The University of Waikato
Bachelors of Engineering, Electrical Engineering, Bachelors of Engineering, Electrical Engineering at Tabriz University of Technology (Sahand)
Master of Engineering (MEng), Biomedical Engineering, Master of Engineering (MEng), Biomedical Engineering at Medical university of Isfahan
English, Persian, Turkish