Pinar Colak

About Pinar Colak

With over ten years of experience, I am an AI leader specializing in developing and implementing machine learning solutions for various sectors, including trust and safety, e-commerce, cloud services, and finance. At Amazon, I currently manage a team of ML scientists focused on creating large-scale AI systems to identify and prevent product review abuse. My work involves a range of AI techniques, such as time-series analysis, deep learning, and Generative AI. My expertise is supported by advanced degrees in mathematics and quantitative finance, along with strong cross-functional collaboration skills.

Experience

1. Applied Science Manager

   Amazon

   May 2023 — Present · Seattle, WA, US

   Supporting and mentoring a team of ML and data scientists focused on detecting andmitigating product review fraud and abuse. Expanded the team’s scope to encompass competitor abuse, search rank manipulation, and abusive brand-building, leading the developmentof a large portfolio of ML solutions for a variety of abuse vectors.

Education

• Simon Fraser University

  Master of Science (MSc), Mathematics

  2006 — 2008

• University of Toronto

  Master's degree, Mathematical Finance

  2012 — 2013

• University of Toronto

  Visiting PhD Student at The Fields Institute, Mathematics

  2010 — 2012

• Simon Fraser University

  Doctor of Philosophy (Ph.D.), Mathematics

  2008 — 2012

• Bilkent University

  Bachelor of Science (BS), Mathematics

  2001 — 2006

Skills

• Data Visualization
• R
• Java
• Windows
• Data Analysis
• Statistics
• Matlab
• Python
• Latex
• Risk Management
• Sqlite
• Vba
• Financial Modeling
• Quantitative Analytics
• Programming
• Git
• Postgresql
• Machine Learning
• Sql
• Quantitative Finance
• Analysis
• Github
• Data Science
• Big Data