About Me
A litle about me
Hi, I am Simge Ekiz Basar
- Degree: Data Science Master
- Email: simgeekiz48@gmail.com
I’m a Data Scientist and Software Engineer passionate about building intelligent systems that make a real-world impact. I currently volunteer as a Full-Stack Developer at Papiamentu.ai, where I design and deploy APIs and manage data-driven web applications.
My expertise lies in machine learning, natural language processing, and event detection. I enjoy developing end-to-end solutions that connect research with practical applications.
I’m motivated by projects that address societal challenges — from disaster response to language accessibility. I value collaboration, continuous learning, and a hands-on approach to turning ideas into useful software.
I thrive in interdisciplinary environments, collaborating with experts across various domains to bring innovative and effective solutions to complex challenges.
Resume
a snapshot look at my professional life
Professional Experience
Full-Stack Developer
Sep. 2025 - Ongoing
SPLIKA Digital & AI Committee · Papiamentu.ai, Nijmegen, The Netherlands
- Full-time volunteer in a project focused on developing language models for the low-resourced Papiamentu language: https://www.papiamentu.ai.
- Designed and developed APIs using Flask and integrated with PostgreSQL database.
- Deployed and managed applications on Linux-based systems, ensuring smooth operation and automation.
Experiential & Educational Break
Mar. 2024 - Aug. 2025
Self-employment, Nijmegen, The Netherlands
- Improved technical skills through personal projects and pursued personal development in areas of long-standing interest outside prior professional experience.
- Attended workshops to broaden both academic and professional knowledge and perspectives.
Software Developer & Data Scientist
Dec. 2017 - Feb. 2024
FloodTags, The Hague, The Netherlands
- Performed advanced data analysis on online media data, applying machine learning and NLP techniques for detection of natural disaster events.
- Developed a highly interactive, dynamic web application to visualize complex data structures, responsive UI components, and real-time data rendering for seamless user interaction.
- Designed and implemented DevOps practices, including CI/CD pipelines and automation of build, test and deployment workflows.
- FloodTags Dashboard (https://dashboard.floodtags.com)
Scientific Software Developer
Oct. 2021 – Dec. 2021
Radboud University Medical Centre, Nijmegen, Netherlands
- Contributed to research on pre-processing Dutch Pediatric Formulary data.
Scientific Software Developer
Mar. 2020 - May 2021
Radboud University, Nijmegen, Netherlands
- Developed a video processing system using human pose estimation algorithms to align subtitles with sign language content, later repurposed as educational material for students.
Research Assistant
Jan. 2019 - July 2019
Koc University Istanbul, Turkey
- Developed and evaluated deep neural network models for text classification and event detection in the context of protest-related news.
Research Assistant
Mar. 2016 - Aug. 2017
Düzce University, Duzce, Turkey
- Researched optimization algorithms and performed comparative benchmarking analyses.
Intern at Information Technologies Department
Aug. 2015 - Sep. 2015
Middle East Technical University, Ankara, Turkey
- Social Engineering, Link Tracking Systems
- Automatic E-mail Systems, Log Analyzing & Log Organization
Intern at Computer Engineering Department
June 2014 - Aug. 2014
Muğla Sıtkı Koçman University, Mugla, Turkey
- Web mining & Data Visualization based projects
Education
MSc. Computer Science
Sep 2017 - Feb 2020
Radboud University, Nijmegen, Netherlands
- Awarded a scholarship by Holland Scholarship Programme
- Specialised on Data Science
Teaching Qualification Certificate (Formasyon)
Sep 2015 - Jan. 2016
Muğla Sıtkı Koçman University, Muğla, Turkey
- Postgraduate certificate qualifying for teaching.
BSc. Computer Engineering
Sep 2011 - June 2015
Muğla Sıtkı Koçman University, Muğla, Turkey
- CGPA: 3.63/4.0, High Honor Student
- Ranked 1st in the class, 3rd in the faculty
- Instruction Language : English
Publications
E. Başar, S. Ekiz & A. van den Bosch, “A Comparative Study on Generalizability of Information Extraction Models on Protest News“. In Working Notes of CLEF 2019 - Conference and Labs of the Evaluation 1/2 Forum, 2019, Lugano, Switzerland.
S. Ekiz, & P. Erdoğmuş, “Comparative study of heart disease classification“. In 2017 Electric Electronics, Computer Science, Biomedical Engineerings' Meeting (EBBT), 1-4, April 2017, IEEE.
S. Ekiz, P. Erdoğmuş, & B. Özgür, “Solving constrained optimization problems with sine-cosine algorithm“. Periodicals of Engineering and Natural Sciences (PEN), 5(3), 2017
P. Erdoğmuş, S. Ekiz, “Nonlinear Regression using Particle Swarm Optimization and Genetic Algorithm”, International Journal of Computer Applications, 153(6):28-36, November 2016, New York, USA
S. Ekiz, R. Kara, “Kaba Kuvvet Matris Çarpımı ve Strassen Matris Çarpımı Algoritmalarının Karşılaştırıl- ması”, UBMK 2016 International Conference on Computer Science and Engineering, October 2016, Tekirdağ, Turkey [in Turkish]
S. Ekiz, Ö. Yerlikaya, “Wikia”, IV. Genç Beyinler Yeni Fikirler Proje Pazarı ve Bitirme Projeleri Ortak Sergisi, May 2015, İzmir, Turkey [in Turkish]
Certificates - Certificates of Participations
Artificial Learning and Information Processing Techniques Summer Camp
Sep. 2016
Certificate of Participation
Akademik Bilişim Conference at Anadolu University
Feb. 2015
New Application Services Courses, Certificate of Participation
Tubitak Bilgem Cyber Security Summer School
Aug 2014
Certificate of Participation & Certificate of Achievement
Linux Summer Camps 2013 & 2014
Aug 2013 & Aug 2014
2013: Linux System Administration, 2014: Web Development with Python and Django, Certificate of Participation