Experience

Karus.ai

• United States
• Financial Services
• 1 - 100 Employee

• Co-founder & Chief technology officer

  • Nov 2020 - 3 years 2 months

  As CTO of Karus I am responsible for our data science & tech related workflows. This includes both the application of advanced machine learning to problems within automotive finance and software development. At Karus we bring unprecedented insight to both the structured and unstructured credit markets.



Nichefire

• United States
• Market Research
• 1 - 100 Employee

• AI/ML architect & advisor

  • Oct 2018 - 5 years 3 months

  Cincinnati, Ohio, United States Lead machine learning and AI development at Nichefire. This included industry leading natural language processing (NLP) and computer vision solutions that extract insight from unstructured data. As of 2021, this role is advisory.



HUNCH

• Market Research
• 1 - 100 Employee

• AI/ML architect & advisor

  • Jan 2018 - 6 years

  Cincinnati, Ohio, United States Designed and built state of the art NLP algorithms for survey analytics and intelligence. Hunch AI models extract nuanced perception of product concepts to help predict market success when launched.



Sphaeric.ai

• United States
• IT Services and IT Consulting

• Founder / Lead Data Scientist

  • Oct 2017 - 6 years 3 months

  Cincinnati Area, KY Lead development of end to end analytics platforms with Sphaeric, a company I founded in 2017. We specialize in building production machine learning and AI solutions for our clients.



Golden Gate University

• United States
• Higher Education
• 300 - 400 Employee

• Adjunct Professor of Economics

  • Oct 2016 - Apr 2018

  Taught micro economics at Golden Gate University as a part time adjunct professor. I focused the course on the fundamentals of the following concepts: Supply and demand The production possibility curve Comparative advantage Economic efficiency



Grant Thornton LLP (US)

• United States
• Accounting
• 700 & Above Employee

• Data Scientist

  • Aug 2016 - Oct 2017

  Washington D.C. Metro Area Used machine learning and artificial intelligence to develop innovative models for clients in both the private and public sectors as a data scientist for Grant Thornton. In addition to client responsibilities, I developed model prototypes to help expand Grant Thornton's service offerings the ML/AI space. I was additionally responsible for identifying and creating content for data science, mathematical, and programming based courses which are offered to Grant Thornton employees.



The World Bank

• United States
• International Trade and Development
• 700 & Above Employee

• Data Scientist

  • Jan 2015 - May 2016

  Washington D.C. Metro Area Worked with the Information and Communication Technology team at the World Bank Group. I provided research and expertise in the fields of smart nations and digital government, leveraging advanced statistical models and contributing to World Bank Publications. The implementation of smart nations and digital government best practices will drive government action in the coming decades, and cities or countries that find themselves ahead of curve are set to profit greatly.



City of Cincinnati

• United States
• Government Administration
• 700 & Above Employee

• Data Analyst

  • May 2015 - Sep 2015

  Analyzed data in order to help create more efficient city agencies, with the aim of providing improved citywide service to Cincinnati residents. I was responsible for creating metrics and data pipelines which city agencies used to review performance. I worked with the Cincinnati City Manger, Chief Performance Officer, and individual city agency heads to set ambitious performance standards and establish Cincinnati as a leader in 'smart' government.



Georgetown University

• United States
• Higher Education
• 700 & Above Employee

• Analyst

  • Jan 2015 - Aug 2015

  Washington D.C. Metro Area Worked with the Georgetown policy innovation lab to best utilize $33,000,000 in finding for the renovation of the Anacostia River in Washington D.C.