Paul Kostoff

Paul Kostoff Email and Phone Number

Co-founder and Chief technology officer @ Karus, Inc.
Cincinnati, OH, US
Paul Kostoff's Location
Cincinnati, Ohio, United States, United States
Paul Kostoff's Contact Details

Paul Kostoff personal email

n/a
About Paul Kostoff

I am a data scientist and machine learning engineer who specializes in implementing AI platforms in industry.

Paul Kostoff's Current Company Details
Karus, Inc.

Karus, Inc.

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Co-founder and Chief technology officer
Cincinnati, OH, US
Website:
karus.ai
Employees:
9
Paul Kostoff Work Experience Details
  • Karus, Inc.
    Co-Founder And Chief Technology Officer
    Karus, Inc.
    Cincinnati, Oh, Us
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  • Karus, Inc.
    Co-Founder & Chief Technology Officer
    Karus, Inc. Nov 2020 - Present
    San Francisco, Us
    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.
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  • Nichefire
    Ai/Ml Architect & Advisor
    Nichefire Oct 2018 - Present
    Covington, Ky, Us
    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.
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  • Hunch
    Ai/Ml Architect & Advisor
    Hunch Jan 2018 - Present
    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.
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  • Sphaeric.Ai
    Founder / Lead Data Scientist
    Sphaeric.Ai Oct 2017 - Present
    Cincinnati, Oh, Us
    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.
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  • Golden Gate University
    Adjunct Professor Of Economics
    Golden Gate University Oct 2016 - Apr 2018
    San Francisco, California, Us
    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 demandThe production possibility curveComparative advantage Economic efficiency
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  • Grant Thornton Llp
    Data Scientist
    Grant Thornton Llp Aug 2016 - Oct 2017
    Chicago, Il, Us
    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.
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  • World Bank Group
    Data Scientist
    World Bank Group Jan 2015 - May 2016
    Washington, Dc, Us
    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.
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  • City Of Cincinnati
    Data Analyst
    City Of Cincinnati May 2015 - Sep 2015
    Cincinnati, Ohio, Us
    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.
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  • Georgetown University
    Analyst
    Georgetown University Jan 2015 - Aug 2015
    Washington, Dc, Us
    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.
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Paul Kostoff Skills

R Programing Language Data Analysis Stata Python Quantitative Research Economics Artificial Intelligence Optimization Quantitative Analytics Consulting Mathematics Mathematical Modeling Statistics Machine Learning Microsoft Excel Deep Learning Sql Econometrics Financial Analysis R Tableau Artificial Neural Networks Database Design Web Applications Cloud Computing Algorithms Research Django Jupyter Arcgis Google Cloud Platform Microsoft Azure Amazon Web Services Flask R Shiny Natural Language Processing Neural Networks Econometric Modeling History Algorithm Design Applied Mathematics Web

Paul Kostoff Education Details

  • Georgetown University
    Georgetown University
    Econometrics And Data Science
  • Xavier University
    Xavier University
    Philosophy

Frequently Asked Questions about Paul Kostoff

What company does Paul Kostoff work for?

Paul Kostoff works for Karus, Inc.

What is Paul Kostoff's role at the current company?

Paul Kostoff's current role is Co-founder and Chief technology officer.

What is Paul Kostoff's email address?

Paul Kostoff's email address is pa****@****-oh.gov

What is Paul Kostoff's direct phone number?

Paul Kostoff's direct phone number is +151351*****

What schools did Paul Kostoff attend?

Paul Kostoff attended Georgetown University, Xavier University.

What are some of Paul Kostoff's interests?

Paul Kostoff has interest in Economic Empowerment, Consulting, Econometrics, Politics, Civil Rights And Social Action, Data Science, Finance, Economics, Policy, Human Rights.

What skills is Paul Kostoff known for?

Paul Kostoff has skills like R Programing Language, Data Analysis, Stata, Python, Quantitative Research, Economics, Artificial Intelligence, Optimization, Quantitative Analytics, Consulting, Mathematics, Mathematical Modeling.

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