PROJECT 1

Title: Adaptation of Agro-Ecosystems to Climate Change at the Edge of the U.S. Corn Belt: Assessing Different Drivers in a Network of Infrastructure

Client: United States Department of Agriculture (NIFA Grant Project)

Agricultural Experiment Station — Department of Economics — South Dakota State University

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•Designed survey questionnaires and contributed to report writing for the South Dakota Climate Change Survey Project.

•Entered and verified survey data for the South Dakota Land Market Trends (1991–2015).

•Collaborated with data modeling teams to analyze land use change data and generate custom reports and tables.

•Developed SAS code (SAS/BASE, SAS/Macro) for data cleaning, regression modeling (Logistic, GLM), and statistical testing (t-test, F-test, Chi-Square).

•Utilized SAS procedures: Proc SQL, Proc DBLOAD, Proc Tabulate, Proc Report, Proc Sort, Proc Freq, Proc Transpose, Proc Summary, Proc Compare, Proc Means, Proc ANOVA, Proc Univariate, and Data NULL.

 

PROJECT 2

Title: Effect of Macroeconomic Variables on Foreign Exchange Reserve, Inflation, and Economic Growth

Department of Economics —University of Chittagong

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•Developed econometric models to analyze the impact of key macroeconomic variables on economic growth.

•Collected and verified annual time series data and constructed multiple econometric and exponential models.

•Applied economic theory and quantitative methods to address real-world business and policy questions.

•Wrote STATA code for ARDL models, reduced form models, logistic regression, and other statistical tests.

 

PROJECT 3

Title: Natural Resources, Economic Growth, and Conservation through Renewable and Nonrenewable Resources in Bangladesh

Department of Economics — South Dakota State University

 

• Collected and analyzed secondary data and existing studies on Bangladesh’s natural resources.
• Cleaned and managed datasets using Excel and statistical tools; produced graphs and merged data for robust analysis.
• Developed econometric models to address quantitative economic problems and provide actionable solutions.

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PROJECT 4

Title: Great Basin Cooperative Ecosystem Studies Unit (GBCESU): Enhancing Restoration of Greater Sage-Grouse Habitat

Economics Department & Cooperative Extension — University of Nevada, Reno

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• Supported the Nevada Native Seed Project through survey design, secondary data collection (BLM, URDI, NDOW), and comprehensive report writing.
• Cleaned, organized, and managed large datasets in Excel; created pivot tables, dummy variables, and unique species-year identifiers for merging multiple data sources.
• Conducted data analysis, generated graphs, and applied various statistical tools to produce clear summary statistics and visualizations.
• Standardized species names and classifications by functional group, year, contact office, and project type to improve data accuracy and usability.
• Analyzed the capacity and challenges of Nevada’s native plant material (NPM) industry, providing insights to increase supply and reduce costs for wildland restoration projects.

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PROJECT 5

Title: The Value of Hunting and Impacts of Habitat Change in Nevada: Your Opinion Counts

Economics Department— University of Nevada, Reno

 

• Analyzed non-market valuation data for the Nevada Department of Wildlife to estimate hunters’ willingness to pay and understand its relationship to hunter characteristics.

• Developed qualitative and quantitative models to identify key drivers of hunting demand and forecast wildlife population changes resulting from habitat shifts.

• Applied cost-benefit analysis to assess the dynamics and sustainability of big game hunting in Nevada.

• Assisted in designing survey questionnaires and preparing reports for non-market valuation studies.

• Addressed complex economic problems by designing appropriate analytical models and interpreting results for policy and management recommendations.

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PROJECT 6

Title: Overlapping Generations (OLG) Model of Interest Rate Dynamics

Economics Department— University of Nevada, Reno

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• Developed and extended the Overlapping Generations (OG) model (Weil, 1987) by incorporating capital accumulation and bubble burst risk, following Banerjee (2021).

• Added stock market clearing to resolve indeterminacy and inefficiency, achieving a unique, Pareto efficient equilibrium (Banerjee and Pingle, 2023).

• Built detailed mathematical and dynamic optimization models to analyze asset returns, capital productivity, and the bubble’s path.

• Derived and simulated the dynamic optimization path, including the golden rule steady state, the Diamond no-bubble steady state, and the capital bubble path.

• Compared the Gross Rate of Return on capital-backed assets and bubble assets, highlighting how the return must compensate for bubble burst risk.

• Analyzed the relationship between the interest rate and capital rental rate, showing how the gap emerges under capital accumulation and bubble risk.

• Conducted comprehensive steady state analysis to understand long-run equilibrium behavior under different assumptions about bubbles and capital markets.

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PROJECT 7

Title: Estimating Economic Benefits for Homeowners of Reducing Wildfire Risk in Wildland Urban Interface in Nevada using Contingent Valuation Approach.
Economics Department— University of Nevada, Reno

• Designed and implemented a contingent valuation survey to estimate homeowners’ willingness to pay for wildfire risk reduction.

• Developed and applied Random Utility Maximization (RUM) framework and Multiple Bounded Dichotomous Choice (MBDC) format for survey design and data analysis.

• Built and estimated modified probit models using maximum likelihood estimation (MLE) techniques.

• Performed advanced econometric modeling and simulations using STATA and Python.

• Applied advanced statistical and econometric techniques, including factor analysis and multiple imputation methods, to analyze survey data and address missing values.

• Managed large survey datasets, conducted statistical cleaning, and produced graphs and summary tables for presentation and reporting.

• Coordinated quantitative analysis of private vs. public risk reduction program preferences in Wildland Urban Interface (WUI) settings.

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PROJECT 8
Title: Statewide Needs Assessment for Horticulture, Agriculture, Natural Resources, and Environment (HANRE) in Nevada
Cooperative Extension — University of Nevada, Reno

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• Designed and conducted a comprehensive statewide needs assessment to identify priority areas in horticulture, agriculture, natural resources, and environmental management.

• Developed survey instruments and data collection methodologies to gather input from diverse stakeholders, including farmers, conservation specialists, extension agents, and government agencies.

• Managed and cleaned large datasets, performed descriptive and inferential statistical analysis, and generated detailed tables, charts, and summary reports.

• Coordinated the preparation of the executive summary and overall project report, translating technical findings into clear, actionable policy recommendations for state and federal stakeholders.

• Responded to ad hoc data requests from internal and external partners, ensuring timely delivery of accurate data insights and analytical support.

• Facilitated collaboration among multidisciplinary teams, providing regular updates to project committees and maintaining effective communication with stakeholders throughout the project lifecycle.

 

PROJECT 9
Title: Development and Management of a Comprehensive Master List for Non-Profit Organization Services in Washoe County
Cooperative Extension — University of Nevada, Reno

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• Reviewed, organized, and maintained a detailed Excel-based Master List derived from multiple documents in the Development Folder to ensure up-to-date tracking of services provided by Non-Profit Organizations (NPOs) in Washoe County.

• Focused on systematically documenting targeted groups and services offered at multiple locations, with detailed information including zip codes and service categories.

• Analyzed and extracted relevant service information from various Word documents categorized by Children, Youth, and Family; Community Development/Economic Development; Unsheltered Persons/Poverty and Housing; Health; and Natural Environment — with special emphasis on horticulture, agriculture, natural resources, and environmental services.

• Ensured comprehensive listing of all services provided by each NPO, accounting for services offered at multiple locations or to multiple target groups.

• Verified and updated the extra columns in the “Washoe County NPO” sheet to maintain accuracy and relevance for stakeholders and program managers.

• Prioritized data collection for high-impact categories such as Children, Youth, and Family, and Community Development/Economic Development, providing timely and detailed reports to guide community resource planning.

• Ensured data integrity, consistency, and completeness by cross-referencing multiple information sources and maintaining clear, organized documentation for ongoing updates and stakeholder use.

 

PROJECT 10

Title: Analysis and Forecasting of U.S. Economic Performance and Business Cycles
Economics Department— University of Nevada, Reno

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• Explored the historical performance of the U.S. economy, analyzing its long-term growth trends and the factors influencing economic behavior over several decades.

• Examined and described the trajectory of economic growth, identifying patterns in business cycles and providing insights into how the economy evolves over time.

• Conducted economic growth forecasting by analyzing the relationships between total production, labor, capital, and technology to understand their combined impact on future growth.

• Applied growth accounting methods and various statistical techniques to evaluate the contribution of key production factors and their trends.

• Investigated how factors like capital accumulation and technological advancement can support or constrain future economic growth.

• Prepared findings and analyses highlighting the importance of sound economic policy and strategic planning for sustained growth.

• Produced policy implications and recommendations based on the research outcomes, contributing to a clearer understanding of how to strengthen economic performance in the long run.

 

PROJECT 11

Title: Population Growth and Economic Development, Revisiting Poverty, Income Inequality, and Economic Growth in Bangladesh: A Marxian and Malthus Perspective
Economics Department— University of Nevada, Reno

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• Analyzed the interrelationships among poverty, income inequality, and economic growth in Bangladesh, drawing on Karl Marx’s theory of functional income distribution and inequality under capitalism.

• Examined trends using Household Income and Expenditure Survey data from 2010 and 2016 to understand patterns in poverty reduction and shifts in income inequality.

• Identified significant reductions in poverty since 2000, while highlighting the recent slowdown in poverty alleviation despite sustained GDP growth.

• Investigated the divergence between urban and rural income inequality, noting that urban inequality has surpassed rural levels due to uneven household consumption growth.

• Assessed how slower and unequal growth in household consumption contributes to persistent poverty and rising inequality in a developing economy.

• Provided policy insights on addressing structural inequality and improving equitable distribution of economic gains to ensure sustained poverty reduction.

 

PROJECT 12

Title: Human Capital Development and Public Investment Impacts on Economic Growth in Bangladesh

Economics Department— South Dakota State University, Brookings

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• Examined the relationship between human capital development and economic growth in Bangladesh using annual time series data and econometric techniques including unit root tests, Johansen co-integration tests, and OLS regression.

• Analyzed variables such as GDP per capita, gross capital formation, enrollment rates at primary, secondary, and tertiary levels, life expectancy, and public expenditures on health and education.

• Found strong positive links between human capital indicators — especially life expectancy and tertiary education — and sustained economic growth.

• Evaluated the impact of Bangladesh’s Annual Development Programme (ADP) as a key driver of GDP growth, incorporating gross capital formation to strengthen analysis.

• Applied time series and co-integration methods to confirm that efficient public investment through the ADP, coupled with improvements in institutional frameworks, supports long-term economic expansion.

• Highlighted policy recommendations focused on strengthening public spending efficiency in health and education to maximize human capital returns and enhance growth outcomes.

 

PROJECT 13
Title: Econometric Estimation of Abalone Age and Price & Historical Analysis of Cournot’s Economic Contributions

Economics Department — University of Nevada, Reno

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• Developed simple econometric models to estimate the age and market value of abalone using ordinary least squares (OLS) and ordered probit models, minimizing the need for costly laboratory methods.

• Analyzed physical characteristics such as weight, height, diameter, length, and sex to create predictive models, offering practical applications for producers and consumers to determine abalone value efficiently.

• Demonstrated that basic regression models can reliably classify age ranges, helping aquaculture operations and seafood markets reduce operational costs.

• Conducted a historical and theoretical study on Antoine Augustin Cournot, examining his pioneering contributions to modern economic theory, including his development of oligopoly and duopoly models.

• Explored Cournot’s innovative use of mathematical functions and probability in economics and contextualized his legacy within the broader history of economic thought.

• Highlighted the historical barriers to the acceptance of mathematics in economic analysis and Cournot’s influence on subsequent generations of economists and economic modeling.

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PROJECT 14

Title: iQIES Data Integration and Modernization Initiative

Informatics Branch — California Department of Public Health

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• Led the replication and modernization of legacy SAS code to fully integrate ASPEN and ELMS datasets with iQIES, aligning decades of variables, formats, and business rules under a unified data environment.

• Developed robust data pipelines using SAS Enterprise Guide (EG), SAS Viya, and Python, pulling raw source data from Oracle and PostgreSQL servers, transforming it, and transmitting clean datasets to Microsoft SQL Server for live dashboards and reporting.

• Automated complex ETL processes by scripting overnight jobs with PowerShell and Visual Studio Code, scheduling and orchestrating runs both through SAS Viya schedulers and custom scripts to ensure reliable daily data refresh.

• Delivered standardized flat files and interactive dashboards in Power BI and Tableau, enabling managers, district offices, and stakeholders to access high-quality integrated data for operational and compliance needs.

• Managed data mapping for home health agencies (HHA), ambulatory surgical clinics (ASC), and hospice facilities, with expansion to nursing homes planned.

• Proactively addressed migration gaps and incomplete source tables by coordinating with CMS and internal stakeholders, ensuring business continuity despite system limitations.

• Applied advanced feature engineering techniques to transform raw data into clean, analysis-ready datasets, supporting dashboards and ad-hoc data requests.

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PROJECT 15

Title: CMS CAP Reporting Dashboard Development and Automation

Informatics Branch — California Department of Public Health

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• Designed and implemented an automated Power BI dashboard to support CMS CAP reporting and deliver critical monthly insights to CMS and CDPH stakeholders.

• Developed robust datasets by extracting raw data directly from Oracle databases and ASPEN systems, performing advanced data cleanup, transformation, and feature engineering to ensure reporting accuracy.

• Utilized SAS Enterprise Guide (EG), SAS Viya, and Python to process, standardize, and prepare data pipelines for automated refresh.

• Built and deployed Python scripts to securely transmit cleaned and transformed data into Microsoft SQL Server, supporting live connections for the Power BI dashboard.

• Automated routine ETL processes and scheduled updates to ensure dashboards reflected the latest data each month, minimizing manual effort and ensuring timely compliance reporting.

• Delivered dynamic visualizations and drill-down reports that improved transparency and supported decision-making across multiple levels of CMS and CDPH management.

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PROJECT 16

Title: End-to-End Data Cleaning & Feature Engineering for Public Health Dashboards & Requests

Informatics Branch — California Department of Public Health

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• Led the design, development, and management of end-to-end data pipelines that extract raw data from ASPEN, ELMS, and iQIES systems hosted in Oracle and PostgreSQL, transforming diverse source data into high-quality, cleaned datasets ready for operational and compliance use.

• Applied advanced data cleaning and feature engineering techniques to standardize, enrich, and validate raw source data, ensuring all downstream outputs meet rigorous quality and format requirements.

• Automated data workflows using SAS Enterprise Guide, SAS Viya, and Python, orchestrating overnight ETL jobs to process and transmit cleaned data into Microsoft SQL Server reliably.

• Developed robust pipelines that feed live Power BI and Tableau dashboards used daily by CDPH district offices to track complaints, citations, allegations, and regulatory violations.

• Enabled district offices and stakeholders to access updated data not only through dashboards but also via secure, on-demand flat files and customized extracts for external data requests from CDPH, CMS, and other requestors.

• Ensured that the entire ecosystem — from raw Oracle/PostgreSQL data to cleaned, analysis-ready datasets — operates seamlessly across development, staging, and production environments, maintaining data integrity and delivery timeliness.

• Coordinated closely with cross-functional teams and data requestors to handle ad hoc reporting needs, troubleshoot pipeline issues, and continuously refine ETL jobs for maximum efficiency and reliability.

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