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:octocat:
Getting artificial intelligence down to a fine art
:octocat:
Getting artificial intelligence down to a fine art
156 followers · 82 following

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Achievement: StarstruckAchievement: Pull SharkAchievement: Arctic Code Vault Contributor
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Achievements

Achievement: StarstruckAchievement: Pull SharkAchievement: Arctic Code Vault Contributor
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Highlights

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@neural-ai-integration @PRAISE-LAB
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edaaydinea/README.md

Eda AYDIN

I'm a self-taught woman engineer for artificial intelligence in healthcare (especially neuroscience).

I'm a Clinical Data Analyst - Scientist, and Healthcare Data Scientist.

🎓My Learning - Experience Journey

  • Clinical Data Scientist (2024 - )
  • Deep Learning Engineer in Providing Artificial Intelligence Software for Medical Imaging (2023 - 2024)
  • 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

🌱 My latest projects

🏆My Latest Certifications

💻 My Latest Blogs

🥇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

Anaconda FastAPI OpenCV

Databases

MySQL Postgres SQLite

IDEs/Editors

Android Studio CLion IntelliJ IDEA Jupyter Notebook PyCharm RStudio Visual Studio Code

Languages

Python R Julia Java Octave LaTeX Markdown HTML5 CSS3 JavaScript

ML/DL

Keras Matplotlib NumPy Pandas Plotly PyTorch scikit-learn SciPy TensorFlow

Developer / Forums

Hackerrank LeetCode Hackerearth

Education

Coursera edX Duolingo


Connect with me

Twitter LinkedIn Kaggle WordPress Outlook Goodreads


 WakaTime Coding Activity

 Profile Trophy

 

 Read.Me Stats

Pinned

  1. AI-Projects-for-Healthcare AI-Projects-for-Healthcare Public

    This repository is included artificial intelligence, machine learning, data science, computer vision projects related to healthcare.

    Jupyter Notebook 98 37

  2. Chest-Xray-Image-Classification-by-using-PyTorch-CNN Chest-Xray-Image-Classification-by-using-PyTorch-CNN Public

    The repository includes my project for Deep Learning with PyTorch: Zero to GANs is Chest X-Ray Image Classification (Pneumonia) which I obtained from the Kaggle - Chest X-Ray Dataset.

    Jupyter Notebook 14 1

  3. Pneumonia-Detection-on-Chest-Xray-Images-with-Deep-Leaning Pneumonia-Detection-on-Chest-Xray-Images-with-Deep-Leaning Public

    This repository includes pneumonia detection on Chest X-ray Images by using Deep Learning(Keras).

    Jupyter Notebook 14 6

  4. Estimating-the-Probability-of-Confirmed-COVID-19-Cases-Taking-into-the-Intensive-Care-Unit-ICU- Estimating-the-Probability-of-Confirmed-COVID-19-Cases-Taking-into-the-Intensive-Care-Unit-ICU- Public

    This repository includes the slides and coding parts for the Estimating the Probability of Confirmed COVID-19 Cases Taking into the Intensive Care Unit (ICU).

    Jupyter Notebook 5

  5. Low-Grade-Glioma-Segmentation Low-Grade-Glioma-Segmentation Public

    This is a capstone project on a real dataset related to segmenting low-grade glioma. This capstone project is included in the UpSchool Machine Learning & Deep Learning Program in partnership with G…

    Jupyter Notebook 6 1

  6. OP2-Prediction-of-the-Different-Progressive-Levels-of-Alzheimer-s-Disease-with-MRI-data OP2-Prediction-of-the-Different-Progressive-Levels-of-Alzheimer-s-Disease-with-MRI-data Public

    This is an optional model development project on a real dataset related to predicting the different progressive levels of Alzheimer’s disease (AD) with MRI data.

    Jupyter Notebook 5