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Ugur Y.'s Personal Email and Phone Number
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Ugur Y.
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Ugur Y.'s Current Workplace
RobinhoodCompany Size
2500+
Amount Raised
$6.2B
Democratizing finance for all.\n\nRobinhood was founded on a simple idea—that our financial markets should be accessible to all. In an industry where barriers have prevailed for too long, this hasn’t always been easy. We’re leveling the playing field by making trading more intuitive, more affordable, and more inclusive to ensure that everyone, regardless of wealth or industry knowledge, feels empowered to participate in the financial system.\n\nStocks & Retirement by Robinhood Financial (Member SIPC). Investing involves risks.\nCrypto trading by Robinhood Crypto \nSpending by Robinhood Money\n\nSocial media guidelines & legal info: http://rbnhd.co/social_media_disclosures
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Notable Investors
Sequoia Capital, Andreessen Horowitz, AvoInvest, Thrive Capital, Google Ventures
FinTech
Cryptocurrency
Trading Platform
Personal Finance
Financial Services
Experience
Senior Data Scientist
Robinhood
Apr 2024 - Present
• 1 yr 4 mosGap year
Career Break
Oct 2023 - Feb 2024
• 5 mos* Waiting for my work authorization to arrive to go back to work
* Writing on Towards Data Science: https://medium.com/towards-data-science/an-overview-of-contextual-bandits-53ac3aa45034
Data Scientist
Slingshot Finance
May 2022 - Oct 2023
• 1 yr 6 mos* Fraudulent wallet detection in incentives using social network analysis
* Building feature store pipelines to be used in modeling
* MAU projection based on historical data and adjustments for hypothetical scenarios
Skills: Python · SQL · Looker · Airflow · PySpark · Experimental Design · Causal Inference · Linear Models · Social Network Analysis
Data Scientist
Robinhood
Apr 2021 - Apr 2022
• 1 yr 1 mo* Design and analysis of incentive experiments, including personalized treatments using uplift modeling
* Trading volume prediction as a function of external factors implemented in an Airflow pipeline
* Causal impact estimation using observational time series data
Skills: Experimental Design · Causal Inference · Linear Models · Machine Learning · Python · SQL · Looker · Airflow
Data Science Intern
Quora
Jun 2019 - Aug 2019
• 3 mos* Optimization of the question topics queue by safely removing stale questions based on analysis of historical data
Skills: Python · SQL · Causal Inference
Computational Social Scientist
TagWorks
Oct 2018 - May 2019
• 8 mos* Scraped and parsed an online text corpus of thousands of articles using Python, which was used on the company’s data labeling platform
* Built a custom named-entity recognition classifier using Python and Stanford CoreNLP
Skills: Python · Natural Language Processing (NLP) · Web Scraping
Consultant
D-Lab, UC Berkeley
Jan 2018 - May 2018
• 5 mos* Guided clients through statistics and programming (Python, R, Stata) related questions, including machine learning basics, co-occurrence analysis, dimensionality reduction (PCA), web scraping, and GitHub
Skills: Python · R · Stata
Education
- 2014 - 2020University of California, BerkeleyDoctor of Philosophy - PhD, Sociology
- 2018 - 2019University of California, BerkeleyMaster of Arts - MA, Statistics
- 2009 - 2014Boğaziçi UniversityBachelor of Arts - BA, Summa Cum Laude, Political Science and International Relations
- 2009 - 2014Boğaziçi UniversityBachelor of Arts - BA, Summa Cum Laude, Sociology
- 2004 - 2009Robert CollegeHigh School