Chad Scott Email & Phone Number

Worldwide, OO

I specialize in developing and producing state-of-the-art Machine Learning models. My journey in this field has encompassed predictive modeling in the past and currently centers on Large Language Models (LLMs). My current focus is on improving the RAG framework for GenAI applications. I've spearheaded projects aimed at crafting bespoke GenAI software.

Worldwide, OO

Arlington, Virginia, US

Arlington, Virginia, US

• Develop, test, and implement analysis of nationwide public-school student assessments and outcomes, utilize statistical analysis and mathematical modeling in R and Python, interpret results for inclusion in published.
• Manage and manipulate large data-sets with R, STATA, and Excel; monitor and clean data to be used by consultants, contractors, government practitioners, and policy-makers.
• Create and maintain Python programs to speed up and make tasks more efficient.
• Provide technical review to federal government clients on studies and reports, determine effective communication methods and data visualizations to link results with purpose of reports, evaluate presentation of data.
• Coordinate and contribute to several projects of statistical analysis, technical review, report development, experimental design, and stakeholder engagement.

• Researched relevant agricultural import and export trade data for many countries including: the European Union, China, India, Israel and CAFTA-DR countries.
• Prepared reports for the Transatlantic Trade and Investment Partnership (T-TIP) round 14 negotiations.
• Assisted U.S. negotiators in meetings with foreign diplomats and business representatives.
• Worked with the Agricultural Policy Advisory Committee (APAC) and Agricultural Technical Advisory Committees (ATACs).
• Gathered data to aid in World Trade Organization (WTO) dispute settlements.

Greenville, SC, US

• Help students grasp basic concepts of economics and statistics, complete homework assignments, and study for exams.
• Create personalized studying methods for each student so that they have the highest chance of succeeding.

Greenville, SC, US

• Compiled and analyzed data, in collaboration with faculty and two fellow students, to determine the trends in natural resource dependence and education spending.
• Found natural resource rents have a negative parabolic-type effect on education expenditure, rather than an expected linear relationship.
• Prepared report and presented findings in academic courses and at the Eastern Economics Association conference.

Master Of Science - Ms, Data Analytics Engineering

Bachelor'S Degree, Economics. Political Science.