Rachel Elizabeth Buck Dodson

361-***-****

ad2sng@r.postjobfree.com

EDUCATION

PhD in Agricultural and Applied Economics, Texas Tech University., Lubbock, TX., December 2023

MA in Business Economics, University of Texas at San Antonio., San Antonio, TX., May 2011

BBA Economics Major & Mathematics Minor, Texas A&M Corpus Christi., Corpus Christi, TX, May 2009

SKILLS

Python, R, SAS, C/C++, Java, MATLAB, Scala, SQL, STATA, Excel, Tableu, PowerBI, XML, XQuery, MAXIMO, Github

Econometrics, Statistics, Forecasting, Business Analysis, Data Analytics, Machine Learning, Commodity Analysis, Policy Analysis, Strategic Planning, Academic and Business Research Reporting and writing, Grant Writing, Analytical Story Telling, Business Consulting, Resource Management, Medical Reporting, Proposal Development, Contract Development, Strategic solutions, Health information technology, Data Migration, laboratory management systems, EMR

EXPERIENCE

Research & Teaching Assistant, Texas Tech University, Lubbock, TX, August 2018 to December 2023

Designed, developed, and executed research employing econometric, economic, mathematical, statistical, and machine learning methods upon publicly available and project specific developed datasets.

Spike Protein Depression Project utilized machine learning and standard econometric techniques to analyze geographic depression prevalence and average hospitalization costs before and after COVID-19. The project employed a unique multisource dataset, as geographically descriptive and large as possible (over 70% of United States), culminating in policy recommendations to stave the negative employment aspects of mental illness.

How Sweet is Machine Learning analyzed the geographic characteristics of increasing diabetes prevalence using detailed machine learning models to extract the most relevant features from a dataset representing 40% of the United States.

Business cost analysis on cotton / alternative crop rotations given water restrictions. Culminating in a presentation at the 2021 Cotton Beltwide Conference (R and Excel).

Gaming data projects utilizing Eve Online free publicly accessible user-generated and hosted data for research exploring risk preferences, player composition, real-time player utility valuation, and corporation/player profit analysis (R, Stata, SPAS, SAS, MATLAB, Python).

Dean W. Hughes Graduate Fellowship Recipient, Texas Tech University, Lubbock, TX (Fall 2023)

Consultant – Self-Employed, Corpus Christi, Texas, February 2012 – March 2023

Worked with individuals, small businesses, law firms, and municipal government to increase productivity, save costs, solve problems, and effectively convey ideas to internal and external customers.

Individual and Small Business Consulting, January 2016 to March 2023

Strategic problem-solving for individual clients which included theoretical background, literature review, research plan, data development, collection, modeling, analysis, and presentation. Cost-saving business strategy, including insurance policy selection, location analysis, software selection, and efficient staffing solutions.

Corpus Christi Facilities Maintenance Department, Fall 2016

Strategic asset management including long-term economic feasibility, design, and implementation of logic-based hierarchical structures in MAXIMO representative of critical municipal owned facilities in detail, from specific physical locations to standard operating procedures for critical assets.

Key Asset Facility Management and cost analysis report featuring repair/upkeep cost breakdown for the most crucial structures in the City of Corpus Christi. This analysis explored personnel, material, tool, and vehicle costs for structures like tennis courts, libraries, and senior centers and large municipal buildings.

ON Stevens Water Plant, Corpus Christi, Texas, Spring 2014 to Fall 2016

Statistical analysis of large data sets, including biological variables, macro and micro economic, and cost data using R, MATLAB, and EXCEL.

Co-author: Development and Application of a Nitrification Potential Index (NPI) for a South Texas Distribution system presented in AWWA conference in New Orleans, November 2014.

Corpus Christi Water Department, Spring 2012 to Fall 2014

Cost analysis comparing pricing water restriction policies to low water land features by calculating and analyzing water usage elasticities to conserve municipal water supply. 10-year budget forecasting using econometric techniques using municipal water data pulled from asset management software. Project research exploring the financial impact of reducing the delinquent payment threshold for municipal water shutoffs.

IT manager – Dr, Jaqueline Cohn MD, Corpus Christi, Texas, February 2011 – Ongoing

Data migration, healthcare information technology, laboratory management systems, technical analysis