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Sudeshna Sen

Sudeshna Sen

Founder and CEO at Pionyr, operator, investor, advisor, and board member

Chicago, Illinois
rocketreach
Joined August 2025
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Summary

Sudeshna Sen is an accomplished entrepreneur and strategic leader, currently serving as the Founder and CEO of Pionyr, a dedicated network empowering women founders. Her mission focuses on fostering an inclusive ecosystem to support and uplift female entrepreneurs, addressing the unique challenges they face in securing funding and growing their ventures. linkedin+1
With a strong background in marketing and analytics, Sudeshna brings extensive experience from executive roles at global firms like dentsu international and Merkle. Her expertise spans media effectiveness, attribution modeling, B2B marketing strategies, and leveraging content intelligence to deliver personalized customer experiences. mediapost+2
Academically, Sudeshna holds a Ph.D. in Econometrics from The University of Texas at Austin, where her research contributed to advanced modeling of household transportation decisions. Her interdisciplinary educational foundation, including a background in Architecture and Urban Planning, underpins her analytical rigor and strategic approach to complex problems. utexas
Beyond her entrepreneurial and corporate leadership, Sudeshna is an active angel investor and advisor, supporting multiple startups and early-stage companies. She frequently shares insights on entrepreneurship, emphasizing the importance of resilience, learning from unknowns, decisive action, and the power of networking. linkedin+1

Work

Education

Writing

A Joint Multiple Discrete Continuous Extreme Value (MDCEV) Model and Multinomial Logit Model (MNL) for Examining Vehicle Type/Vintage, Make/Model and Usage Decisions of the Household

August 1, 2006

Doctoral dissertation proposing a comprehensive econometric model to analyze various dimensions of household vehicle holdings and usage decisions. The model integrates MDCEV and MNL components to study choices regarding vehicle body type, age, make, model, and usage, with implications for transportation policy and urban planning.

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