Talha Oz
Scholar

Talha Oz

Google Scholar ID: fKIp5bEAAAAJ
Amazon
Computational Social ScienceNetwork ScienceData ScienceOrganizational Behavior
Citations & Impact
All-time
Citations
128
 
H-index
7
 
i10-index
6
 
Publications
20
 
Co-authors
6
list available
Resume (English only)
Academic Achievements
  • Published papers in venues like SBP-BRIMS; Multiple patents submitted and currently under review; Projects at Amazon led to over $31M+ annual profit increase.
Research Experience
  • Applied Scientist at Amazon (July 2022 - Present); Staff Data Scientist at Betterworks (March 2021 - May 2022); Computational Social Scientist at Humanyze (Late 2017 - Mar 2021); Developed algorithms grounded in organizational behavior and social network analysis to assess the effectiveness of communication and collaboration in organizations; At Betterworks, spearheaded the development of several machine learning models, including feedback and sentiment analysis; At Amazon, improved the main algorithm used in email marketing, leading to a significant increase in profits, and mentored an intern to build an email click propensity model.
Education
  • PhD in Computational Social Science from George Mason University (Late 2020); Graduate Research Assistant at Center for Social Complexity (2016 - 2017), and Machine Learning and Inference Lab (2012 - 2016)
Background
  • Research Interests: Computational Social Science, Data Analysis, Machine Learning; Professional Field: Computational Social Science; Bio: Talha Oz earned his PhD in Computational Social Science from George Mason University. Before joining Amazon, he worked as a Data Scientist at two People Analytics companies.
Miscellany
  • Personal interests and hobbies not mentioned