Daniel Mccarthy

Daniel Mccarthy Email and Phone Number

Chevy Chase Village, MD, US
Daniel Mccarthy's Location
Chevy Chase, Maryland, United States, United States
About Daniel Mccarthy

I am an Associate Professor of Marketing at the University of Maryland's Robert H. Smith School of Business. I popularized customer-based corporate valuation, a "bottom-up" approach to valuing firms by assessing the value of their customers. My other areas of research include data fusion, data privacy, missing data problems, machine learning, and causal inference.My research has been accepted and published in top-tier academic journals such as the Journal of Marketing Research, Marketing Science, Journal of Marketing, Journal of the American Statistical Association: Theory and Methods, and Annals of Applied Statistics. My work has also been featured in media outlets such as the Harvard Business Review, Wall Street Journal, FT, Fortune, The Economist, Inc, USA Today, Barron's, CBS, CNBC, Slate, Business Insider, and CFO Magazine. I have won numerous awards, including the Don Lehmann Award, Robert J. Lavidge Award, MSI Alden G. Clayton Award, ISMS Award, Shankar-Spiegel Award, and Gary Lilien ISMS-MSI-EMAC Practice Prize. I was also a finalist for many others, including the Paul Green, John A. Howard/AMA, JM Hunt/Maynard, and MSI H. Paul Root Awards.In 2015, I co-founded a predictive analytics company, Zodiac, where I served as the Chief Statistician. Zodiac was acquired by Nike in March 2018. I subsequently co-founded Theta to commercialize my work on customer-based corporate valuation.Before joining the University of Maryland, I was an Assistant Professor of Marketing at Emory University's Goizueta School of Business. I hold a Ph.D. in Statistics from The Wharton School of the University of Pennsylvania. I also earned a BSc in Economics with a concentration in Statistics and Finance from The Wharton School and a BAS in Systems Science Engineering from the School of Engineering and Applied Science, as part of the Jerome Fisher Program in Management and Technology at the University of Pennsylvania.

Daniel Mccarthy's Current Company Details
University of Maryland - Robert H. Smith School of Business

University Of Maryland - Robert H. Smith School Of Business

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Associate Professor of Marketing
Chevy Chase Village, MD, US
Daniel Mccarthy Work Experience Details
  • University Of Maryland - Robert H. Smith School Of Business
    Associate Professor Of Marketing
    University Of Maryland - Robert H. Smith School Of Business
    Chevy Chase Village, Md, Us
  • University Of Maryland - Robert H. Smith School Of Business
    Associate Professor Of Marketing
    University Of Maryland - Robert H. Smith School Of Business Aug 2024 - Present
    College Park, Maryland, Us
  • Theta
    Director And Co-Founder
    Theta May 2018 - Present
    Philadelphia, Pa, Us
  • Peerful
    Co-Founder
    Peerful Aug 2022 - Present
  • Gerson Lehrman Group (Glg)
    Council Member
    Gerson Lehrman Group (Glg) 2012 - Present
    New York, Ny, Us
  • Emory University - Goizueta Business School
    Assistant Professor Of Marketing
    Emory University - Goizueta Business School Aug 2017 - Aug 2024
    Atlanta, Ga, Us
  • Zodiac™ (Acquired By Nike)
    Co-Founder And Chief Statistician
    Zodiac™ (Acquired By Nike) Mar 2015 - Mar 2018
    New York, Ny, Us
    Zodiac is a predictive customer analytics platform that forecasts the behavior and lifetime value of individual customers and customer segments. The company was backed by top-tier investors including First Round Capital, Felicis Ventures, Compound, and WTI until it was acquired by Nike in March 2018.
  • The Wharton School
    Resident Data Scientist, Wharton Customer Analytics Initiative
    The Wharton School Aug 2014 - May 2017
    Philadelphia, Pa, Us
  • Mcmaster-Carr
    Management Development Program
    Mcmaster-Carr Mar 2011 - Apr 2012
    Elmhurst, Illinois, Us
    Supervised groups within the warehouse and the Finance department.
  • Nadel And Gussman / Boston Avenue, A Single Family Investment Office
    Investment Professional
    Nadel And Gussman / Boston Avenue, A Single Family Investment Office Jan 2006 - Mar 2011
    Worked for funds investing the capital of an extended family.
  • Citigroup
    Summer Analyst
    Citigroup May 2005 - Aug 2005
    New York, New York, Us
    Proprietary trading desk run by Peter Chalif
  • Boston Avenue Capital
    Summer Analyst
    Boston Avenue Capital May 2004 - Aug 2004
    Small cap deep value hedge fund managed by Chuck Gillman
  • National Institutes Of Health
    Research Fellow
    National Institutes Of Health May 2003 - Aug 2003
    Bethesda, Md, Us
    Research in the Electron Tomography department under Dr. Sriram Subramaniam

Daniel Mccarthy Skills

Statistics Financial Modeling Investments Valuation Quantitative Analytics R Hedge Funds Finance Machine Learning Economics Corporate Finance Private Equity Asset Management Venture Capital Data Analysis

Daniel Mccarthy Education Details

  • The Wharton School
    The Wharton School
    Statistics
  • University Of Pennsylvania
    University Of Pennsylvania
    Systems Science Engineering
  • The Wharton School
    The Wharton School
    Statistics
  • Heights High School
    Heights High School

Frequently Asked Questions about Daniel Mccarthy

What company does Daniel Mccarthy work for?

Daniel Mccarthy works for University Of Maryland - Robert H. Smith School Of Business

What is Daniel Mccarthy's role at the current company?

Daniel Mccarthy's current role is Associate Professor of Marketing.

What is Daniel Mccarthy's email address?

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What is Daniel Mccarthy's direct phone number?

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What schools did Daniel Mccarthy attend?

Daniel Mccarthy attended The Wharton School, University Of Pennsylvania, The Wharton School, Heights High School.

What are some of Daniel Mccarthy's interests?

Daniel Mccarthy has interest in Exercise, Sweepstakes, Home Improvement, Reading, Gourmet Cooking, Sports, Golf, Home Decoration, Health, Cooking.

What skills is Daniel Mccarthy known for?

Daniel Mccarthy has skills like Statistics, Financial Modeling, Investments, Valuation, Quantitative Analytics, R, Hedge Funds, Finance, Machine Learning, Economics, Corporate Finance, Private Equity.

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