Peter Toth

Peter Toth Email and Phone Number

Staff Data Scientist @ Upstart
Reno, NV, US
Peter Toth's Location
Reno, Nevada, United States, United States
Peter Toth's Contact Details
About Peter Toth

I am a Data Scientist at Uber working on experimentation at scale in a two sided marketplace, previously on pricing incentives. Currently interested in experimental design and XP + ML questions.I graduated from the University of Texas at Austin in 2018, then I spent three years in Academia as an Assistant Professor at the University of Nevada, Reno researching panel data econometrics.Please feel free to contact me if you have any questions.

Peter Toth's Current Company Details
Upstart

Upstart

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Staff Data Scientist
Reno, NV, US
Website:
upstart.com
Employees:
1662
Peter Toth Work Experience Details
  • Upstart
    Staff Data Scientist
    Upstart
    Reno, Nv, Us
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  • Uber
    Senior Applied Scientist
    Uber Mar 2023 - Present
    San Francisco Bay Area
    Improving Experimentation practices at Uber.
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  • Uber
    Applied Scientist
    Uber Jul 2021 - Mar 2023
    San Francisco Bay Area/Reno
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  • University Of Nevada, Reno
    Assistant Professor
    University Of Nevada, Reno Jul 2018 - Jul 2021
    Reno, Nevada Area
    Teaching statistics and econometrics, pushing the identification frontier.
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  • The University Of Texas At Austin
    Teaching Assistant
    The University Of Texas At Austin Sep 2013 - May 2018
    Teaching Assistant to various advanced undergraduate courses and to the Master's Time Series Econometrics class. Head Teaching Assistant (team leader) for the large introductory statistics class. Instructor for Math Camp at the PhD level.
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  • Clarity Services, Inc.
    Research Associate
    Clarity Services, Inc. Aug 2014 - Feb 2015
    Using the firm's large proprietary data base I analyzed the relationship between default and the debt-to-income ratio. The initial findings highlighted some special properties of the small-dollar lending market.
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  • Finalyse
    Consultant
    Finalyse Mar 2013 - Aug 2013
    Budapest
    Contributed to the work done in OpRisk modeling. Explored new copula estimation and model selection framework for the loss distribution approach.
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  • Hungarian Academy Of Sciences, Institute Of Economics Budapest
    Researcher
    Hungarian Academy Of Sciences, Institute Of Economics Budapest Jun 2012 - Sep 2012
    Budapest
    Analyzing Hungarian trade flows and their wage premia from a near-universal data (with panel econometrics)Published in English and Hungarian as “The impact of international trade on employment and wages”, In MunkaeropiaciTukor, 2013, IEHAS, Budapest (with Miklos Koren).

Peter Toth Skills

Economics Econometrics Stata Data Analysis Research Statistics Policy Analysis English Qualitative Research Analysis International Relations Macroeconomics Teaching Matlab Latex Financial Modeling Economic Research Teamwork Microsoft Word Russian Analytical Skills Microsoft Excel Powerpoint Public Speaking Eviews Microeconomics Corporate Finance Political Science R Management Consulting Statistical Modeling

Peter Toth Education Details

Frequently Asked Questions about Peter Toth

What company does Peter Toth work for?

Peter Toth works for Upstart

What is Peter Toth's role at the current company?

Peter Toth's current role is Staff Data Scientist.

What is Peter Toth's email address?

Peter Toth's email address is ha****@****ail.com

What schools did Peter Toth attend?

Peter Toth attended The University Of Texas At Austin, Northwestern University, Central European University, Budapesti Corvinus Egyetem.

What are some of Peter Toth's interests?

Peter Toth has interest in Economic Empowerment, Politics, Education, Environment, Science And Technology.

What skills is Peter Toth known for?

Peter Toth has skills like Economics, Econometrics, Stata, Data Analysis, Research, Statistics, Policy Analysis, English, Qualitative Research, Analysis, International Relations, Macroeconomics.

Who are Peter Toth's colleagues?

Peter Toth's colleagues are Chuck Gutro, Marisa Amorasak, Bogdan Genchev, Kevin Lin, Joe Karnes, Justin Riele, Jiaqi Wang.

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