Eda AYDIN
I'm a self-taught woman engineer for artificial intelligence in healthcare (especially neuroscience).
I'm a Healthcare Data Scientist and Deep Learning Engineer.
🎓 My Learning - Experience Journey
- MSc. in Data Science ('23)
- Micro Master in Machine Learning, Neural Engineering ('23)
- Google Machine Learning Program (In partnership with Up School and Google Developers) ('23)
- Neurotechnology Spring School 2022, Neurobiology and Neurosciences ('22)
- Micro Master in Artificial Intelligence ('21)
- Bachelor of Engineering in Computer Engineering ('19)
- Deep Learning Engineer in Providing Artificial Intelligence Software for Medical Imaging (2023 - Present)
- Graduate Research Student in Computational Neuroscience and Neurodegenerative diseases (2023 - Present)
- Graduate Research Student in AI for Neuroscience (Multiple Sclerosis, Dementia, Traumatic Brain Injury) (2021 - Present)
- Summer Research Student in ML and Neuroscience (2021)
- Research Student in COVID-19 Medical Image AI Model Research and Development (2020)
- Research Student in Data Science for Development (2020)
- Artificial Intelligence Intern in NLP (2019)
👷 Check out what I'm currently working on
- Multiple Sclerosis Lesion Segmentation from Brain MRI Images by using the Deep Neural Networks - Graduate Research Project
- Detection of ALS (Amyotrophic Lateral Sclerosis) - Graduate Research Project
- Detection of Dementia in the early stage by comparing Brain MRI images of Demented and Non-demented Adults - Graduate Research Project
🌱 My latest projects
- Low-Grade Glioma Segmentation - Up School Capstone Research Project
- Prediction of the Different Progressive Levels of Alzheimer’s Disease with MRI data - Up School Optional Research Project
- Personalized Medicine: Redefining Cancer Treatment - Healthcare - Artificial Intelligence Program Final Project
- Estimating the Probability of Confirmed COVID-19 Cases Taken into the Intensive Care Unit (ICU) - Data Science for the Public Good Program Capstone Project
- Pneumonia Detection on Chest X-ray Images with Deep Learning (Keras) - Data Science for the Public Good Program Capstone Project
🏆 My Latest Certifications
- TensorFlow Developer Certificate - December 2022
- DeepLearning.AI TensorFlow Developer Professional Certificate - December 2022
- Deep Learning Specialization - November 2022
- Fundamentals of Neuroscience XSeries Program - May 2022
💻 My Latest Blogs
- Deep Learning Architectures for Medical Image Segmentation
- Beyni Anlamak için Neden Matematiğe İhtiyacımız var?
- Niçin Tıp Alanında Yapay Zeka'ya İhtiyaç Var?
- Data Science Life Cycle
- Sağlık Alanında Veri Bilimi
- MOBILISE Projesi
- STOpFrac Projesi
🥇 Competitions
| Month/Year | Competition Name | URL | Score |
| February 2023 | ML - Olympiad - Breast Cancer Diagnosis | ML Olympiad-Breast Cancer Diagnosis | Kaggle | 8/64 |
| February 2023 | RSNA Screening Mammography Breast Cancer Detection | RSNA Breast Cancer Detection | Kaggle | 1407/1687 |
| February 2023 | House Prices - Advanced Regression Techniques | House Prices Prediction | Kaggle | 1035/3996 |
🥇 Challenges
My Skill Set
Frameworks, Platforms and Libraries
Databases
IDEs/Editors
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Languages
ML/DL
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Developer / Forums
Education
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