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Hervé Kieffel

Retired data science executive, aspiring novelist

Hervé Kieffel is a seasoned professional with around 20 years of extensive experience in the realm of quantitative management consulting and technology, specializing in decision analysis, capital allocation, data analytics, software development, and machine learning.

Having served as an adjunct professor at Stanford University for over a decade, Hervé has a strong background in teaching mathematical modeling and is known for effectively bridging the gap between data analytics and C-suite strategy.

He has held key positions at reputable organizations such as Calypso Consulting LLC, PwC (where his first company was acquired), Folio Technologies LLC, and Stanford University.

With an educational background that includes a Ph.D. in Operations Research from Stanford University, an MS in Civil Engineering focusing on Transportation Economics from Ecole nationale des Ponts et Chaussées, and a BS in Economics & Physics from École Polytechnique, Hervé Kieffel has a solid academic foundation to complement his practical expertise.

His skill set encompasses effective communication with C-level executives, proficiency in white-boarding technical concepts, and a deep understanding of complex analytics within his areas of specialization.

As an angel investor and a seasoned entrepreneur, Hervé is currently engaged in a new start-up venture that focuses on machine learning, demonstrating his continued dedication to innovation and emerging technologies.

Hervé Kieffel
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Location

San Francisco, California, United States