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Dan Yelle
Dan Yelle
Statistician, Statistical Modeling Group | Credibly
Connecticut, Hartford, United States
Dan Yelle
Summary
Dan Yelle is a seasoned Chief Data and Analytics Officer at Credibly, where he leads a global team in leveraging AI and machine learning to enhance credit risk models and streamline underwriting processes. With a robust background in data analytics and statistical modeling, Dan has held significant roles at prominent organizations such as American Express and DataRobot. His expertise spans various domains, including risk management, economic capital, and anti-money laundering. Dan is also a patent holder, showcasing his innovative contributions to digital ad targeting and consumer insights. He holds dual master's degrees in Applied Statistics and Physics, underscoring his strong analytical foundation. A recognized leader, Dan has received accolades such as the Amex Risk Management President's Award, reflecting his impact in the field. He is passionate about fostering collaboration among data professionals and is always on the lookout for talented individuals to join his team.
Dan Yelle
Work Experience
Chief Data and Analytics Officer at
Credibly
July 2021 - Present
Dan Yelle
Education
Cornell University, Masters, Applied Statistics
Syracuse University, Masters, Physics
University of Pittsburgh, Bachelors, Physics & Astronomy
Frequently Asked Questions about Dan Yelle
What is Dan Yelle email address?
Dan Yelle's primary email address is ******@credibly.com. To view the full verified email and additional contact details, sign up for free with Muraena.
What company does Dan Yelle work for?
Dan Yelle is a Statistician, Statistical Modeling Group at Credibly.
Where Dan Yelle graduated from?
Dan Yelle holds a degree in null from Cornell University.
How can I directly contact Dan Yelle?
To contact Dan Yelle directly, you can use the email address ******@credibly.com. Complete contact information is available upon registration with Muraena.
Who is Dan Yelle?
Dan Yelle is a seasoned Chief Data and Analytics Officer at Credibly, where he leads a global team in leveraging AI and machine learning to enhance credit risk models and streamline underwriting processes. With a robust background in data analytics and statistical modeling, Dan has held significant roles at prominent organizations such as American Express and DataRobot. His expertise spans various domains, including risk management, economic capital, and anti-money laundering. Dan is also a patent holder, showcasing his innovative contributions to digital ad targeting and consumer insights. He holds dual master's degrees in Applied Statistics and Physics, underscoring his strong analytical foundation. A recognized leader, Dan has received accolades such as the Amex Risk Management President's Award, reflecting his impact in the field. He is passionate about fostering collaboration among data professionals and is always on the lookout for talented individuals to join his team.
Dan`s contact details
******@credibly.com
*********@datarobot.com
Colleagues
Founder/Co-Chief Executive Officer
Business Analyst, Acquisitions
Manager
Executive Vice President
Global Advanced Product Marketing Manager