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Hi, I’m Travis Dorsey, a Lead Data Scientist and AI/ML leader based in Austin with 10+ years of experience building predictive analytics and machine learning solutions across startups and enterprise teams. Most recently as Head of AI & ML at Flowcode, I led teams to deliver scalable MLOps platforms, LLM-powered features, and data-driven products that improved decision-making and customer engagement. What sets me apart is my ability to bridge strategy and hands-on engineering—designing production-ready AI systems, mentoring teams, and turning complex data into measurable business impact.…Hi, I’m Travis Dorsey, a Lead Data Scientist and AI/ML leader based in Austin with 10+ years of experience building predictive analytics and machine learning solutions across startups and enterprise teams. Most recently as Head of AI & ML at Flowcode, I led teams to deliver scalable MLOps platforms, LLM-powered features, and data-driven products that improved decision-making and customer engagement. What sets me apart is my ability to bridge strategy and hands-on engineering—designing production-ready AI systems, mentoring teams, and turning complex data into measurable business impact.

Travis Dorsey

Data Scientist, Data Analyst, AI Engineer, +2

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Hi, I’m Travis Dorsey, a Lead Data Scientist and AI/ML leader based in Austin with 10+ years of experience building predictive analytics and machine learning solutions across startups and enterprise teams. Most recently as Head of AI & ML at Flowcode, I led teams to deliver scalable MLOps platforms, LLM-powered features, and data-driven products that improved decision-making and customer engagement. What sets me apart is my ability to bridge strategy and hands-on engineering—designing production-ready AI systems, mentoring teams, and turning complex data into measurable business impact.…Hi, I’m Travis Dorsey, a Lead Data Scientist and AI/ML leader based in Austin with 10+ years of experience building predictive analytics and machine learning solutions across startups and enterprise teams. Most recently as Head of AI & ML at Flowcode, I led teams to deliver scalable MLOps platforms, LLM-powered features, and data-driven products that improved decision-making and customer engagement. What sets me apart is my ability to bridge strategy and hands-on engineering—designing production-ready AI systems, mentoring teams, and turning complex data into measurable business impact.

Available to hire

Hi, I’m Travis Dorsey, a Lead Data Scientist and AI/ML leader based in Austin with 10+ years of experience building predictive analytics and machine learning solutions across startups and enterprise teams. Most recently as Head of AI & ML at Flowcode, I led teams to deliver scalable MLOps platforms, LLM-powered features, and data-driven products that improved decision-making and customer engagement.

What sets me apart is my ability to bridge strategy and hands-on engineering—designing production-ready AI systems, mentoring teams, and turning complex data into measurable business impact.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Language

English

Fluent

Work Experience

Special Risk Credit Analyst at JPMorgan Chase

September 1, 2011 - December 1, 2013

Enhanced compliance and operational efficiency by training over 80 team members on regulatory requirements and streamlining workflows, significantly reducing error rates from 35% to 4%. Led process improvements to increase productivity within the Special Risk department, implementing best practices that resulted in smoother workflows and more efficient risk analysis. Provided expert training and guidance for new hires, creating clear documentation and workflows that supported onboarding and team development.

Strategic Analytics Business Analyst III at JPMorgan Chase

December 1, 2013 - March 1, 2015

Advised and collaborated on hypothesis formulation, determined research design, and selected data collection procedures to test program effectiveness; recommendations included procedural changes and acceptance of new technology developments. Performed data and statistical analysis to identify specific research areas and meaningful trends for strategic decision-making.

Lead Data Scientist at Federal Research Programs (Contract/Remote)

April 1, 2015 - July 1, 2022

Designed complex statistical models for assessing the effectiveness of federal research grant programs, providing valuable insights on how scientific investments influence state economies. Worked with large economic datasets, including BEA and Federal Reserve data, to measure the economic ripple effects of NIH funding and inform policy decisions. Collaborated with cross-disciplinary teams to ensure rigorous data collection and analysis, delivering high-quality, actionable insights. Established innovative evaluation methodologies and analysis plans to assess program impact in health economics and related fields.

Lead Data Scientist at U.S. Small Business Administration

July 1, 2022 - Present

Developed data-science strategies to optimize risk-based sampling processes, overseeing a team of three data scientists to analyze over 50,000 SBA program participants for Certification programs. Collaborated cross-functionally with program staff to create complex, stratified sampling models that enhanced eligibility reviews across SBA programs. Spearheaded forecasting research using ML models like XGBoost by integrating SBA data with external datasets (BEA, Federal Reserve) to predict loan trends. Mentored and trained junior data scientists, driving adoption of best practices in data analysis, ML techniques, and research methodologies for SBA projects. Optimized resources by developing data-driven solutions enabling more targeted reviews and improved overall program efficiency.