SUMMARY
With over seven years of experience in fields such as Data Science, Machine Learning, and Deep Learning, I possess a deep understanding of the technical intricacies involved in these areas. In addition, I have worked on various projects utilizing large datasets and AI models to create artistic works. I have had the privilege of speaking at numerous events, where I have shared my expertise with others. My passion for these fields extends beyond my professional experience and can be seen in my work as a content creator on platforms such as YouTube and Twitter.
I have created open-source and free education projects, which have been widely received by the community. My drive and dedication to learning new skills in this field is what keeps me motivated. I have a constant desire to enhance my knowledge and create innovative solutions. I am confident that my experience, skills, and passion for the field will make a valuable contribution to any team.
EXPERIENCE
Senior Data Scientist / Generative Artist Apr 2016 - Now | Refik Anadol Studio
I create artistic visuals with AI models using vast amounts of data by training the AI models. Antilop is a technology company that combines the worlds of artificial intelligence and art. As a data scientist and generative artist at Antilop, my role is to create AI models using data sets, train these models, and generate artistic visuals, complex models are created using large datasets, while in art, these models are used to create artistic works.
AI Team Lead Apr 2013 - Mar 2016 | Global AI Hub
During my tenure at a Swiss startup, I assumed the leadership role of an Al team consisting of 5 members and collaborated with cross- functional teams to manage workflows. As a cohesive Al team, we conceptualized and developed numerous Al and Python courses from inception to completion. Our team was responsible for the successful delivery of eight diverse courses to a massive audience of over 100,000 individuals.
Data Scientist Dec 2011 - Mar 2012 | BOSCH
In my capacity as a Data Scientist, I was entrusted with overseeing the successful deployment of the Turkish division of a data warehouse established in Germany. Concurrently, I spearheaded an end-to-end project aimed at mitigating production errors by performing a comprehensive analysis of data derived from machines utilized in car injector production. This initiative encompassed the collection of data from measuring devices on the production line, its subsequent storage, the development of an XGBoost machine learning model, and its reporting to a web page for optimal end-user utilization. I also ensured the encryption of data during the project and addressed any potential security vulnerabilities.
PROJECTS
Project Name 1 Contributor
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Project Name 2 Creator and maintainer.
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EDUCATION
Uludag University | Bursa Jul 2011 - Dec 2012 | Electrical-Electronics Engineering
My academic coursework primarily focused on software development, signal processing, microprocessor design, and communication systems. I conducted research and implemented a comparative analysis of conventional machine learning techniques and of my project, I leveraged Keras to develop a robust solution for detecting Gaussian Noise in images, with an emphasis on generating lost information by utilizing NVIDIA's Noise2Noise network.
Universidad Politècnica de Madrid | Madrid Aug 2007 - Jun 2011 | Data Science
I attended upon the invitation of Madrid Technical University to the Machine Learning event. I had the opportunity to take lessons from well-known instructors in their fields.
SKILLS
Python
Deep Learning
Diffusion Models