Eda AYDIN

Digital Content Creator

AI Coding Woman•  June 2020 - Present

AI Coding Woman is a blog I created to share my passion for technology and to support people who want to progress in this field as well as helping them to reach the most accurate information in this field.

Coding Specialist in AI

Outlier•  July 2024 - Present•  San Francisco, California, USA

• Enhanced performance of SOTA AI models by 90% in code generation and prompt refinement. • Redefined prompts for Large Language Models, ensuring higher quality responses (90% and above). • Specialized in Retrieval-Augmented Generation, Test Generation, and Bug Fixing.

Data Scientist/Analyst

Upwork (formerly Elance-oDesk)•  November 2024 - Present•  San Francisco, California, United States

• Provided end-to-end data analysis and insights to clients in healthcare, environmental projects, and disaster management. • Specialized in cleaning, analyzing, and visualizing complex datasets using Python, R, SQL, Excel, Tableau, Power BI, Looker Studio and Google BigQuery • Developed predictive models and machine learning algorithms to drive data-informed decision-making.

Data Scientist/Analyst

Turing Inc.•  January 2025 - Present•  San Francisco, California, USA

• Spearheaded the development of cutting-edge AI solutions for US-based enterprises, utilizing advanced Python programming to address complex challenges and drive technological innovations. • Extracted actionable business intelligence from public datasets, including Kaggle and UN repositories, to support key decision-making processes across diverse industries. • Communicated the logic and methodology behind Python code effectively, facilitating collaboration with research teams and stakeholders to develop AI models and solutions.

Graduate Student Researcher

Neural AI Integration Research Lab•  February 2023 - June 2024•  Remote

I worked on analyze brain data (EEG, fMRI) using machine learning to decode brain signals and develop brain-computer interfaces. I collaborated with researchers to build advanced models for specific neuroscience projects.

Deep Learning Engineer

Hevi AI•  May 2023 - June 2024•  Remote

I built NLP models to analyze medical data, focusing on disease detection and summarization from chest X-rays. I also applied machine learning to mammogram analysis, including image processing, data quality control, and model development.

Graduate Student Researcher

Wicking Dementia Research and Education Centre•  February 2022 - July 2022•  Hobart, Tasmania, Australia

I enrolled in a comprehensive Dementia Research Program that provides work in both understanding the risk factors and potential preventative measures for dementia, as well as examining the diseases that cause dementia, how they impact the person with dementia and the treatments and care practices that enhance quality of life across the trajectory of dementia for people with the condition, their families and caregivers.

Graduate Student Researcher

Wicking Dementia Research and Education Center•  March 2022 - May 2022•  Hobart, Tasmania, Australia

I enrolled in the Traumatic Brain Injury Research program which provides work in investigating the bio-mechanics, pathology, and long-term effects of traumatic brain injuries across the lifespan.

Graduate Student Researcher

Menzies Institute for Medical Research•  September 2021 - December 2021•  Hobart, Tasmania, Australia

I enrolled in a Multiple Sclerosis research program that provides work in gaining insights covering the biology, diagnosis, risk factors, management, and persoanl experience of living with MS.

Summer Research Intern

Center for Brains, Minds and Machines•  August 2021 - September 2021

Enrolled in the Brains, Minds, and Machines (BMM) summer online course, and this program provides a "deep end" introduction to the problem of intelligence how to brain produces intelligent behavior, and how we may be able to replicate intelligence in machines.

Artificial Intelligence Project Development Intern

3Bitz Tech & Marketing Agency (Conff R&D)•  January 2019 - September 2019

- Designed Text Analysis application between 2 or 3 text documents by using Python language and NumPy, NLTK libraries

Columbia University, New York

Computer Science, Biomedical Enginering, MicroMaster•  September 2021 - August 2024•  GPA: 4

Joint Consideration in Machine Learning, Computational Biology, Neural Engineering

Columbia University, New York

Artificial Intelligence, Micro Master•  September 2020 - August 2021•  GPA: 3.33

Coursework: Artificial Intelligence, Machine Learning, Robotics, Animation and CGI Motion

Istanbul Altınbaş University

Computer Science & Engineering, BE•  September 2014 - June 2019•  GPA: 2.98

Coursework: Artificial Intelligence, Computer Graphics