Reduced the processing cost of GDPR-compliant face and licence plate anonymization used in EyeVi's Google street-view project by 70% and decreased the latency by 20% by building data-centric computer vision models and deploying them AWS Inferentia.
Automated the digitization of power lines inspection in dense forests, the extraction of road object attributes in road surveying and in traffic management by researching and developing point cloud deep learning based segmentation networks.
Built Argo Workflows for ETL tasks, machine learning inference scripts and for retaining data used to train ML models.
Serving as the go-to-person in the engineering team for all things related to AI in the cloud.
Data Science Consultant (Part Time)
TalTech - Tallinn University of Technology
Tallinn
06.2020 - 05.2021
Researched and built deep learning-based software tools for road defects detection and classification from panoramic images.
Assisted TalTech's 3D research group and stakeholders with various software development for geospatial data processing and data visualization.
Education
Master of Science - Mechatronics (Robotics And Computer Vision)
TalTech - Tallinn University of Technology
Tallinn, Estonia
06-2021
Bachelor of Science - Computer Science
Gazi University
Ankara, Turkey
07-2019
Skills
Python (Programming Language)
Machine Learning
Deep Learning
PyTorch
SQL
Docker
Scikit-Learn
AWS SageMaker
Hobbies
Hikes
Nature Exploration
Timeline
Data Scientist
EyeVi Technologies
07.2021 - Current
Data Science Consultant (Part Time)
TalTech - Tallinn University of Technology
06.2020 - 05.2021
Master of Science - Mechatronics (Robotics And Computer Vision)