Staff Data Scientist (Tech Lead) - Ex-LinkedIn (Microsoft) | Ex-Apple
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Assessing your cultural and operational fit
I am a passionate advocate of Data Science and Machine Learning, who has experience at two Big Tech companies in the Silicon Valley. I see my job as a hobby for finding interesting correlations and patterns. In my spare time, I study and prepare new open source data science material for self development of junior data scientists.
Purdue University
Doctor of Philosophy (PhD), Computer Science
January 1, 2012 – January 1, 2017
Purdue University
Master of Science (MS), Computer Science
January 1, 2010 – January 1, 2012
Galatasaray University
Bachelor of Science (BS), Computer Engineering
January 1, 2006 – January 1, 2010
Notre Dame De Sion French High School
High School Diploma, Science
September 1, 2001 – June 1, 2006
Yapı Kredi
Staff Data Scientist (Tech Lead)
April 1, 2024 – Present
Istanbul, Türkiye · Hybrid
Hepsiburada (NASDAQ: HEPS)
Senior Data Scientist
October 1, 2022 – March 1, 2024
Istanbul, Turkey · Remote
Career Break
Voluntary work
August 1, 2021 – September 1, 2022
Istanbul
Senior Data Scientist
January 1, 2020 – July 1, 2021
Silicon Valley, California, United States
Apple
Data Scientist
January 1, 2018 – January 1, 2020
Silicon Valley, California, United States
Nutanix
Data Science Intern
May 1, 2017 – August 1, 2017
Silicon Valley, California, United States
Purdue University
Graduate Research Assistant
October 1, 2011 – December 1, 2017
West Lafayette, Indiana, United States
Functional Programming Principles in Scala
EPFL
June 24, 2026 – Present
Prediction and Control with Function Approximation
University of Alberta
June 24, 2026 – Present
Generative Adversarial Networks (GANs) Specialization
DeepLearning.AI
June 24, 2026 – Present
Big Data Analysis with Scala and Spark
EPFL
June 24, 2026 – Present
Parallel programming
EPFL
June 24, 2026 – Present
Functional Program Design in Scala
EPFL
June 24, 2026 – Present
Machine Learning
Stanford Online
June 24, 2026 – Present
Deep Learning Specialization
DeepLearning.AI
June 24, 2026 – Present
Sample-based Learning Methods
University of Alberta
June 24, 2026 – Present
Fundamentals of Reinforcement Learning
University of Alberta
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's diverse experience across major tech companies (Apple, LinkedIn, Hepsiburada) and financial institutions (Yapı Kredi), coupled with a strong academic research background, indicates adaptability and a broad perspective. Their involvement in open-source projects and self-development aligns with a culture of continuous learning and contribution. The target role of ML Engineer aligns well with their deep ML and data science expertise.
Soft Skills & Operational Fit
The candidate's resume indicates experience in collaborating with business, engineering, and research teams, presenting analysis results to executive leadership, and participating in full development cycles including code reviews and agile planning. These suggest strong communication, teamwork, and operational fit for a senior role. The career break for voluntary work and open-source contributions also highlights initiative and continuous learning.