
Lead Research Specialist (RDS-III)
Data & Analytics Division
CHCQ| Informatics Branch
California Department of Public Health
Sacramento, CA, USA
Client: United States Department of Agriculture (NIFA grant project)
Position: Graduate Research Assistant
Responsibilities
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Assisted in survey questionnaire design and report writing for the South Dakota State University Climate Change Survey Project in 2013
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Entered and verified survey data for the 2014 edition of the South Dakota Land Market Trends 1991-2015
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Worked closely with the data modeling team to analyze land-use change survey-related data, generate custom reports, tables and listings
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Developed SAS code using SAS/BASE, SAS/Macro to clean the invalid data from the database, Logistic regression model, GLM model building, t-test, F test, Chi-Square test
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Used 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_.
Title: Adaptation of agro-ecosystems to climate change at the edge of U.S. Corn belt- assessing different drivers in a network of Infrastructure (Start 2014, End Jan 2018)

Responsibilities
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Develop different econometric models to investigate how different macroeconomic variables affect economic growth
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Entered and verified yearly time series data and constructed several econometric and mathematical exponential models in different phases of these analyses
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Build econometric models, using our world-class data systems, and apply economic theory to solve business problems in a fast-moving environment
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Developed STATA code using ARDL model, reduced-form model, Logistic regression model, GLM model building, t-test, F test, Chi-Square test
PROJECT -2: Title: Effect of Macroeconomic variables on foreign exchange reserve, inflation and Economic Growth (January 2010 to December 2018)

Responsibilities:
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Collected secondary data and examined existing reports and study on natural resources in Bangladesh
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Used different statistical tools excel, graphs, excel database, merge, 1-m merge.
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Cleaning data produce graphs and build in econometric models.
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Address quantitative economic problems, and contribute to the design of research problems
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Provide economic solutions based on the research problems
Title: Present Scenarios of Natural Resource, economic growth through renewable and nonrenewable resources, and conservation of natural resource in Bangladesh (January 2014 to December 2015)

Client: United States Fish and Wildlife Services
Research Assistant
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Assisted survey and secondary sources data (BLM, URDI, and NDOW) and report writing for the Nevada Native Seed Project
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Cleaning data, produce graphs, used different statistical tools and excel, database management through excel
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Data cleaning, data analysis, and report/manuscript preparation.
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Development of the native plant material (NPM) industry in Nevada with the goal of increasing the supply and lowering the cost of NPMs for use in wildland restoration projects
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Analyzing the current capacity to produce NPM in Nevada, identifying the challenges to producing NPM under cultivation, and a detailed analysis of NPM use by the Bureau of Land Management and other Federal, State, and private-sector entities in Nevada
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Create a pivot table, create dummy variables, merge many to one, find duplicates entry
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Assign standardized names and common names in each species
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Summary statistics, species retrieved form URDI data, create variables with species/year unique identifier to allow for a M:1 merge with the UDRI price data
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Classifications of the data by species, functional group, year, contact office, project type
Title: “Great Basin Cooperative Ecosystem Studies Unit (GBCESU): Research to Enhance Restoration of Greater Sage-Grouse Habitat through Improved Production and Establishment of Critical Native Plant Species.” (January 2019 to Present)

Client: Nevada Department of Wildlife, United States
Graduate Research Assistant
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Assisted survey questionnaire design and report writing and non-market valuation for the Nevada Department of Wildlife
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Address qualitative and quantitative economic problems and design the appropriate models for the problems
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Calculate the wiliness to pay by different user groups and examine the relationship between hunter characteristics and willingness to pay.
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To estimate the main drivers of hunting and estimate the expected changes in wildlife populations and hunt tag members as a result of ecosystem change.
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Explore the dynamics of big game hunting in Nevada using cost-benefit analysis
Title: The value of Hunting and Impacts of Habitat Change in Nevada: You’re your Opinion Count (January 2019 to Present)

Responsibilities:
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We identify an accounting anomaly in the Diamond-Tirole framework.
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To reconcile the accounting properly, we find that the interest rate paid on saving cannot be the same as the marginal product of capital as has been assumed.
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We examine the implications of this finding for interest rate theory
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What we will seek to do is endogenize the level of confidence by introducing a learning process.
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People develop an estimate that the bubble will persist from one period to the next using a learning process.
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The most simple learning process will likely be reinforcement learning. The primary alternative is belief learning. Experience Weighted Average learning is a combination of the two.
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We hope to characterize the path the economy will follow as it depends upon how people learn.
A National Income Anomaly in the Dimond-Triole Overlapping Generations Economy: An explanation form Wiel Model

Responsibilities:
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Our paper investigates the likelihood of owners of property that borders wildlands supporting private and public mitigation actions, to identify underlying motivations and disincentives.
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We seek to identify in our research, wildfire risk reduction for a community: ex-ante measures.
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In addition, we will calculate WTP to reduce Wildfire risk in Wildland -Urban Interface to compare the public program and private actions.
Value of Wildfire risk reduction for a community, conceptual advantages of ex-ante measures

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Corona Virus and Global economy- Details Coming

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Global Economy Finance- Details Coming
