CV

Education

• Ph.D., Stanford Graduate School of Business, 2021
• M.S. in Statistics, Stanford University, 2020
• M.Phil. in Economics (Research Track), University of Cambridge, 2016
• B.A. in Economics (High Honors), Bogazici University, 2015

Work experience

• 2022 - Present: Google, Senior Data Scientist
  • I’m on the Econometrics team under the Chief Economist. I develop and apply econometric tools & causal machine learning techniques to understand the true effects of interventions and improve decisions across Google. I provide decision-makers with actionable insights that enable them to make informed, data-driven choices. My work covers machine learning, statistical modeling, causal inference, and experiment design.
• 2021 - 2022: Uber Technologies, Applied Scientist II
  • I worked in the experimentation team within the Core Analytics and Sciences group. I developed, improved and maintained Uber’s A/B testing and marketplace experimentation platforms, writing production level code and working with Python, Spark, and R.
• 2020 Summer: Facebook Core Data Science, Research Intern
  • I designed, scoped and executed a research project to analyze the launch of an ads-related product using machine learning based modern causal inference techniques. I used observational and experimental methods to measure the causal impact of the product launch on users, analyzing heterogeneous, time-varying treatment effects.

• 2017 - 2021: Stanford Graduate School of Business, Research & Teaching Assistant

  • Data-Driven Impact, with Prof. Susan Athey and Dr. Niall Keleher (Winter, Spring 2020): I was part of the team which taught the very first version of Stanford’s graduate level Data-Driven Impact course. I guided and facilitated student collaborations with social impact startups, prepared interactive tutorials on relevant topics in machine learning and provided direction and statistical advice to groups of students. I covered a wide range of topics such as hypothesis testing, statistical power, linear and logistic regression, neural networks, matrix completion, word embeddings, topic models, and recommendation systems. (Link to Student Evaluations)

  • Data and Decisions, with Prof. Peter Reiss (Summer 2019): Introduction to statistics for Stanford GSB Master’s students. Held office hours and tutorials teaching R for linear regression, data manipulation and statistical hypothesis testing.

  • Microeconomic Theory, with Prof. Dana Foarta (Fall 2019): Ph.D. level course based on material from Mas Colell & Whinston & Green. Held office hours and weekly review sessions on consumer and producer theory. (Link to Student Evaluations)

  • Research Assistant to Prof. Greg J. Martin & Prof. Shoshana Vasserman (2020-2021) and Prof. Steven Callander (2020).

• 2016 - 2017: JPMorgan & Chase London, Project Manager and Business Analyst

  • I managed global projects coordinating teams across regions to build tech infrastructure and respond to client needs in preparation for Brexit.

• 2014: Koc University, Research Assistant

  • I conducted data entry and analysis for an experimental economics project analyzing behavioral interventions covering more than twenty primary schools and thousands of students. Supervised by Prof. Seda Ertac.

• 2013 - 2015: Bogazici University, Teaching Assistant

  • I ran weekly review sessions for multiple game theory, micro- and macroeconomics and mathematical statistics courses. I was a volunteer teaching assistant and one-on-one tutor to visually impaired students for courses in mathematics and microeconomics.

Presentations at Conferences and Meetings

• Joint Statistical Meetings 2024
• CausalAI Conference San Francisco, June 2024, Invited Speaker
• NABE Tech Economics Conference, November 2023
• INFORMS Annual Meeting, October 2023
• ACM WWW - Special Track on Web for Good, April 2022
• Econometric Society World Congress, Summer 2020
• NBER Young Scholars Workshop on the Economics of Artificial Intelligence, September 2019

Honors And Awards

• Stanford GSB Ph.D. Fellowship, 2017-2021
• Economics Faculty Bursary, University of Cambridge, 2016

Computer Skills & Languages

• R, Python, C++, SQL, Spark, Stata, Matlab, Julia, ArcGIS, LaTeX, VBA, Unix
• Languages: English, French, Turkish

Other & Service

• Referee for: IEEE Symposium on Information Theory
• President, Stanford GSB Ph.D. Student Association (2019-2020)
• Social Events Officer, Stanford GSB Ph.D. Student Association (2018-2019)
• Volunteer Teaching Assistant for Visually Impaired Students, Bogazici University (2013-2014)