Co-founder & Project Manager (Tubitak 1812 project) BrainSurf (BCI based Decision support System) March 2023 to Present - Formulated the business idea and project plan for BrainSurf (Tubitak 1812 project), an EEG based LLM real time Decision Support Assistant, defining project scope,objectives, budgets and milestones. - Architected the software framework for BrainSurf, ensuring the seamless integration of EEG headbands and LLM technology. - Drove the business planning process, identifying market needs, potential challenges, and opportunities. Business Manager & Full-Stack Data Scientist (Self-employed) Truman Data Solutions and & Analytics March 2023 to Present (1 year) Automated Dashboard Project for ZenSate (Indonesia) - Extract, transform and load real time data using Python, from clients of Therapy Center. - Feature engineeing based on literature review to generate user analytics - Created automation scripts on GCP using Google APIs - Connected user data to Looker Studio Dashboard Backend Development for ZenSate IOS App (Indonesia) - Developed a comprehensive backend system for a cognitive health iOS application (data handling, user authentication, and insightful analytics.), focusing on processing EEG data from the Muse headband to evaluate meditation impacts. - Implemented a license key-based authentication system using Django REST Framework, - Engineered data processing and analysis pipelines with Python, leveraging pandas for data manipulation and SciPy for scientific computing. - Deployed the backend on AWS, leveraging EC2 for scalable computing, RDS for data storage, S3 for secure EEG data storage, and IAM for enhanced security and access control. Data Pipeline Automation with Web Scraping - Led the development of a sophisticated web scraping solution for Medicare.gov, aimed at extracting comprehensive data on medical institutions and specialized doctors for lead generation purposes. - Designed and implemented a headless Selenium script, fine-tuned to navigate and bypass sophisticated bot detection mechanisms, ensuring reliable data extraction from dynamically rendered web pages. - Established a structured RDS database on AWS to store and manage the extracted data efficiently. Configured the database schema to accommodate diverse data types. Research & Student Assistant Middle East Technical University, Medical Informatics Department January 2021 to January 2023 (2 years) - Conducted research on different topics of Machine Learning and Data Science including physiological and energy data - Assisted the courses of OBJECT ORIENTED PROGRAMMING AND DATA STRUCTURES (MIN 545) and STATISTICAL METHODS FOR INFORMATICS , PATTERN CLASSIFICATION FOR BIO-MEDICAL APPLICATIONS (MIN 720) by supporting weekly recitation hours, organizing lab hours, and helping students with problem sets - Designed and executed experiments in collaboration with other national and international researchers and departments at the METU Neurosignal Lab, focusing on neuroscientific data for the development of innovative Machine Learning models Research Assistant Universität des Saarlandes, Experimental Neuropsychology Unit June 2017 to December 2017 (7 months) -Investigated recognition memory and neural correlates identifying neural correlates for transforming theoretical concepts into data-driven research questions. - Performed data analysis on EEG data using filtering, ICA, baseline correction, and artifact rejection, highlighting skills in data cleaning and preprocessing. - Utilized Python/Matlab for statistical analysis and visualization of EEG data, demonstrating abilities in data transformation and insightful visualizations. - Conducted statistical analysis and visualization of EEG data using Python and Matlab for research insights