Frank Fineis

Judge
DISC Type : Dc

Director of Machine Learning Engineering at Clearcover

Greater Chicago Area, United States

Overview

Frank is the Director of Machine Learning Engineering at Clearcover, where he leads AI initiatives that drive operational efficiency. With Masters degrees in both Statistics and Applied Mathematics, he has deep expertise in developing and integrating leading-edge tech across the insurance product lifecycle.

Outside of work, Frank is a Formula 1 enthusiast and enjoys watching races with his West Highland White Terrier. He has also been a speaker and panelist at various data science and InsurTech events, sharing his knowledge with early-career scientists.

Unique fact: Frank has co-authored published research on topics ranging from improving RNA-seq analysis in genomics to economic diversification with solar energy in West Virginia.

Personality Overview

Generally Skeptic

Fast But Wary

Objective Thinker

They like to act fast and expect others to do the same.  They are not focused on building rapport and relationships. They are very proud of what they do.

Topics They Care About

AI in InsurTech
He leads AI engineering initiatives at Clearcover to achieve significant operational efficiencies, such as reducing time per claim through automation and intelligent workflows.
Future of Insurance
He is a panelist on "Human Oversight and Agentic Workflow" at the upcoming InsurTech Spring Conference 2026, where he discusses the future of the industry.
Data Science Blogging
He has contributed to data science blogs, writing about the business applications of deep learning models, indicating an interest in sharing knowledge with the broader community.

Media Appearances

Frank has no verified media appearances

Work History

5-2025
Director of Machine Learning Engineering at Clearcover
11-2023 - 7-2025
Principal Machine Learning Engineer at Clearcover
1-2023 - 11-2023
Lead Machine Learning Engineer at Clearcover
1-2022 - 1-2023
Senior Machine Learning Engineer at Clearcover
6-2021 - 1-2022
Data Science Engineer at Milliman Financial Risk Management

Education

2017 - 2019
Master's degree from Northwestern University
2014 - 2015
Master of Science (MS) from University of Washington

More Information

Social Presence :

Prographics :

Exp : 12 Location : Greater Chicago Area, United States Job Level : Mid-senior Designation : Director of Machine Learning Engineering at Clearcover
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Insights For Selling To Frank

During A Call Or A Meeting

DO's

  • Objectively showcase the impact that your product creates
  • Hold your ground without indulging in one-upmanship
  • Be respectful but crisp

DONT's

  • Do not hesitate from asking counter questions, just avoid challenging their authority
  • Avoid being too verbose
  • Don’t focus on process and rules, give the impression of being a ‘gets it done’ person

When Cold Calling

When Writing An Email

While Negotiating & Closing

    The secret to closing fast with Frank is

  • Confidence in impact is paramount to them, followed by a sense of achievement and ROI.
  • Will you ever get a clear answer from Frank

  • If they are not convinced, they will have no hesitation in telling you the same.

Insights For Deal Planning

    How fast (or slow) will Frank move?

  • They can take decisions very fast if you manage to convince them.
  • Can Frank take some risk or not?

  • The risks don’t matter much to them.

You And Frank

Personality Compatibility


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