Resume

Education

2018 – 2021
  • Graduated 1st in my class with the highest GPA in the Computer Science department.
  • Coursework: Neural Networks, Machine Learning, Natural Language Processing, Applied Data Analysis, Data Visualization
2018 – 2021
  • Graduated 1st in my class with the highest GPA in the Computer Science department.
  • Coursework: Neural Networks, Machine Learning, Natural Language Processing, Applied Data Analysis, Data Visualization
2014 – 2018
  • 50% scholarship for ranking 1976th among 2,000,000 students taking the undergraduate placement examination.
  • Coursework: Algorithms, Data Structures, Machine Learning, Neural Networks, Statistical Learning, Data Analysis
2014 – 2018
  • 50% scholarship for ranking 1976th among 2,000,000 students taking the undergraduate placement examination.
  • Coursework: Algorithms, Data Structures, Machine Learning, Neural Networks, Statistical Learning, Data Analysis

Experience

Sep 2023 – Present
  • Researching and developing ML solutions to improve Oracle-internal and customer products worldwide.
Sep 2023 – Present
  • Researching and developing ML solutions to improve Oracle-internal and customer products worldwide.
Oct 2021 – Aug 2023
  • Researching and developing ML solutions to improve Oracle-internal and customer products worldwide.
Oct 2021 – Aug 2023
  • Researching and developing ML solutions to improve Oracle-internal and customer products worldwide.
Feb 2021 – Sep 2021
  • Developed a patent-pending natural language processing pipeline to transform text documents and tables into knowledge graphs.
Feb 2021 – Sep 2021
  • Developed a patent-pending natural language processing pipeline to transform text documents and tables into knowledge graphs.
Aug 2019 – Jan 2020
  • Researched novel evolutionary hyperparameter optimization methods for training knowledge graph embedding models.
  • Implemented them in Accenture's open source knowledge graph library AmpliGraph.
Aug 2019 – Jan 2020
  • Researched novel evolutionary hyperparameter optimization methods for training knowledge graph embedding models.
  • Implemented them in Accenture's open source knowledge graph library AmpliGraph.
Feb 2019 – Jun 2020
  • Implemented a novel exploration method for deep reinforcement learning algorithms using TensorFlow.
  • Co-authored a paper that was accepted to the OptRL workshop at NeurIPS 2019.
Feb 2019 – Jun 2020
  • Implemented a novel exploration method for deep reinforcement learning algorithms using TensorFlow.
  • Co-authored a paper that was accepted to the OptRL workshop at NeurIPS 2019.
Sep 2017 – Feb 2018
  • Built a Python framework for the offline evaluation of multi-armed bandit algorithms.
  • Modified the SQL code of a medical dataset simulator to generate data to train three different bandit models.
Sep 2017 – Feb 2018
  • Built a Python framework for the offline evaluation of multi-armed bandit algorithms.
  • Modified the SQL code of a medical dataset simulator to generate data to train three different bandit models.
Jun 2017 – Aug 2017
  • Implemented a neural network in MATLAB to perform semantic segmentation on magnetic resonance images.
  • Added four new features to the modeling platform ArtiSynth by integrating my code into the large Java codebase.
Jun 2017 – Aug 2017
  • Implemented a neural network in MATLAB to perform semantic segmentation on magnetic resonance images.
  • Added four new features to the modeling platform ArtiSynth by integrating my code into the large Java codebase.
Jun 2016 – Jul 2016
  • Collected live tweets using Java and predicted the response time of a Twitter account to new tweets using Weka.
Jun 2016 – Jul 2016
  • Collected live tweets using Java and predicted the response time of a Twitter account to new tweets using Weka.

Publications

Skills

Programming Languages

Python, Java, JavaScript, MATLAB, C++, SQL, R, Scala

Frameworks

PyTorch, TensorFlow, NumPy, Pandas, Scikit-learn, Matplotlib

Human Languages

Native Turkish, Fluent English (TOEFL 119/120), Basic French

Extracurricular

2016
  • Held weekly meetings with over 100 members, managed a 150.000 TL budget and organized career/social events.
  • Coordinated a management and leadership conference with over 600 attendees.
2016
  • Held weekly meetings with over 100 members, managed a 150.000 TL budget and organized career/social events.
  • Coordinated a management and leadership conference with over 600 attendees.