Dr.Niaz Murshed Chowdhury
                                         PhD. MS. MSS

I am an economist, data scientist, and public health researcher with over eight years of experience designing and deploying advanced analytics, economic models, and machine learning solutions to solve real-world challenges. My interdisciplinary background bridges public health, environmental and resource economics, and data engineering, transforming complex datasets into actionable insights for policy, operations, and research.

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Currently, I serve as a Lead Researcher at the California Department of Public Health, where I lead the modernization of legacy systems, develop dynamic dashboards, and automate large-scale data pipelines. I work across platforms including SAS Viya, SQL Server, Oracle, PostgreSQL, Python, PowerShell, Databricks, and Power BI. I also specialize in data visualization using tools like Tableau and Power BI, creating intuitive dashboards that support regulatory reporting, policy analysis, and performance monitoring, including EMTALA compliance systems.

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I hold a PhD in Econometrics and Quantitative Economics, with my research specialization in  Environmental and Resource Economics,  Fire Science, and Macroeconomics, supported by three master’s degrees in Economics, Econometrics, and Quantitative Economics. My academic research has explored topics such as land-use dynamics in the U.S. Prairie Pothole Region, climate impacts on ecosystems, wildlife management, macroeconomic development in Bangladesh, and foreign reserve and inflation dynamics.

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My analytics expertise includes regression modeling (linear, logistic, LASSO), time series forecasting, Bayesian inference, survival analysis, and spatial econometrics. I’ve applied these tools to public health systems, wildfire modeling, patient risk stratification, and economic trend forecasting. In addition, I have hands-on experience with machine learning, deep learning, NLP, and reinforcement learning using Python, R, SAS, STATA, and SPSS.

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My work has been cited more than 431 times by national and international institutions, including the USDA, USGS (EROS), International Center for Climate and Global Change Research, and the American Association for the Advancement of Science. My findings have been directly implemented in U.S. government decision-making processes.

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Beyond technical execution, I bring strong leadership and cross-functional collaboration skills. I build scalable solutions, streamline data flows, and foster data-informed cultures. My goal is to use data science and economics to support effective governance, evidence-based decision-making, and systems that benefit both people and the environment.

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