Oz Kilic

About

Hi! My main interests are machine learning, social computing, online social networks, data science, human behavior, quantitative finance, and recommendation/match-making systems. My wide range of interests and my peculiar educational background enable me to have a broader perspective and quickly pickup new subjects.

• Fluency in Python, R, and SQL
• Hands-on experience in data collection, manipulation, mining, and visualization
• Honorable mention award in an international big data challenge
• Versatile skillset, strong multimedia skills
• Various projects in portfolio

Experience

• Research Intern (May 2023-August 2023)

  BlackBerry

• Research and Teaching Assistant (September 2022-April 2023)

  School of Computer Science, Carleton University

• Research and Teaching Assistant (January 2018-September 2022)

  Informatics Institute, Middle East Technical University

  As a research assistant, I was a member of a research group that was awarded an honorable mention in an international big data challenge (Data for Refugees) that had participants from reputable institutions such as MIT and the University of Oxford. You can find our book chapter here.

  As a teaching assistant, I had various duties such as preparing/updating/grading assignments and projects, preparing/conducting lab sessions, proctoring, and helping students for the following courses:

  • IS783 - Social Media Analytics
  • IS503 - Database Concepts and Applications
  • IS507 & SM561 - Introduction to Software Engineering
  • IS524 & SM523 - Software Design Patterns
  • IS100 - Introduction to Information Technologies and Applications
  
  

  I have also taken additional responsibilities in:

  • Department of Information Systems program coordination
  • Graphic design-related tasks
  • Web administration/development

Education

• Master of Computer Science (2022-2024) (3.93/4.0)

  School of Computer Science, Carleton University
• Specialization in Data Science
• Supervised by Assoc. Prof. Olga Baysal.



• Ph.D. in Information Systems (2020-2022) (3.93/4.0)

  Informatics Institute, Middle East Technical University

Dropped out after completing the course requirements.


• M.S. in Information Systems (2016-2020) (3.79/4.0)

  Informatics Institute, Middle East Technical University



I have taken compensatory courses for a year, and started taking program courses in 2017. I became an RA & TA in 2018. I completed my coursework in 2019 and I wrote my MS thesis called "You are where you eat from: predicting socioeconomic status from restaurant menus and user reviews," supervised by Prof. Tuğba Taşkaya Temizel. All in all, I have completed these courses:

• Big Data
• Computer Networking for Information Systems
• Database Concepts and Applications
• Fundamentals of Business
• Information Systems Project
• Introduction to Information Systems
• Introduction to Software Engineering
• Knowledge, Discovery and Mining
• Machine Learning for Multimedia Informatics
• Object Oriented Programming and Data Structures
• Research Methods and Ethics in Information Systems
• Social Media Analytics
• Software Design Patterns

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• B.A. in Communication & Design (2012-2016) (3.49/4.0)

  Department of Communication & Design, Bilkent University



I have taken courses about film production, design, screenwriting, communication studies, advertising, journalism, etc. I have also taken extra courses from other departments such as psychology and archaeology.

• Minor in Graphic Design (2013-2016) (3.52/4.00)

  Department of Graphic Design, Bilkent University

Publications

• A Fact Checking and Verification System for FEVEROUS Using a Zero-Shot Learning Approach
  Orkun Temiz, Özgün Ozan Kılıç, Arif Ozan Kızıldağ, Tuğba Taşkaya Temizel
  In Proceedings of the Fourth Workshop on Fact Extraction and VERification (FEVER), 2021 [Peer-reviewed]
• The Use of Big Mobile Data to Gain Multilayered Insights for Syrian Refugee Crisis
  Özgün Ozan Kılıç, Mehmet Ali Akyol, Oğuz Işık, Banu Günel Kılıç, Arsev Umur Aydınoğlu, Elif Surer, Hafize Şebnem Düzgün, Sibel Kalaycıoğlu, Tuğba Taşkaya Temizel
  In Guide to Mobile Data Analytics in Refugee Scenarios, Springer Nature, 2019
• Data Analytics without Borders: Multi-Layered Insights for Syrian Refugee Crisis
  Özgün Ozan Kılıç, Mehmet Ali Akyol, Oğuz Işık, Banu Günel Kılıç, Arsev Umur Aydınoğlu, Elif Surer, Hafize Şebnem Düzgün, Sibel Kalaycıoğlu, Tuğba Taşkaya Temizel
  In Proceedings of the Data for Refugees Challenge Workshop, 2019 [Peer-reviewed]

Some more

Projects

You can click on most of them to read more or visit the project.

Tools & Skills

While some of my skills are not as fresh or solid as others, I believe I can learn whatever is needed and work with it unless I explicitly stated a skill as "very limited."

More

Awards and honors

• Honorable Mention - Data for Refugees
  Our team was awarded an honorable mention in Data for Refugees (D4R), an international big data challenge that aims to use highly anonymized call detail records to make policy recommendations that would benefit the Syrian refugees in Turkey. The challenge was organized by Türk Telekom, Boğaziçi University, and other entities such as MIT Media Lab and Data-Pop Alliance. It had more than 60 competing groups spanning 19 countries, from reputable institutions such as MIT and the University of Oxford.
• Worthy of Mention - Open Research Day
  Our poster presentation that is based on our Data for Refugees report was awarded a worthy of mention award at Open Research Day in Middle East Technical University.

Language

• Turkish: Native
• English: 8.0/9.0 in IELTS Academic (2021)
• French: DELF B2 (2011) - It does not have an expiry date, but I am out of practice.

Activities

• Small-scale solo software projects
• Playing guitar and piano
• Digital music production
• Digital painting & graphic design
• Casual gaming