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Getting artificial intelligence down to a fine art
:octocat:
Getting artificial intelligence down to a fine art

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@NeuralAILab @PRAISELAB

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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


  • Graduate Student Clinical Researcher - Clinical Research Data Scientist (2024 - Present)
  • Graduate Research Student in Computational Neuroscience and Neurodegenerative diseases (2023 - 2024)
  • Deep Learning Engineer in Providing Artificial Intelligence Software for Medical Imaging (2023 - 2024)
  • Graduate Research Student in Traumatic Brain Injury (2022)
  • Graduate Research Student in Dementia (2022)
  • Graduate Research Student in Multiple Sclerosis (2021)
  • 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

📄 My Latest Publications

🥇Competitions

Month/Year Competition Name URL Score
February 2023 ML Olympiad 2023 - Breast Cancer Diagnosis ML Olympiad-Breast Cancer Diagnosis | Kaggle 8/64

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

LinkedIn Kaggle WordPress Outlook


Support me

edaaydinea




Coding Activity Progress

Weekly Development Breakdown

Code Time

Profile Views

Lines of code

🐱 My GitHub Data

📦 3.9 MB Used in GitHub's Storage

🏆 1,409 Contributions in the Year 2024

🚫 Not Opted to Hire

📜 101 Public Repositories

🔑 12 Private Repositories

I'm a Night 🦉

🌞 Morning                156 commits         ⣿⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀   03.09 % 
🌆 Daytime                1482 commits        ⣿⣿⣿⣿⣿⣿⣿⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀   29.36 % 
🌃 Evening                2015 commits        ⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀   39.92 % 
🌙 Night                  1395 commits        ⣿⣿⣿⣿⣿⣿⣿⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀   27.63 % 

📅 I'm Most Productive on Monday

Monday                   884 commits         ⣿⣿⣿⣿⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀   17.51 % 
Tuesday                  804 commits         ⣿⣿⣿⣿⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀   15.93 % 
Wednesday                709 commits         ⣿⣿⣿⣿⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀   14.05 % 
Thursday                 827 commits         ⣿⣿⣿⣿⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀   16.38 % 
Friday                   563 commits         ⣿⣿⣿⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀   11.15 % 
Saturday                 628 commits         ⣿⣿⣿⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀   12.44 % 
Sunday                   633 commits         ⣿⣿⣿⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀   12.54 % 

📊 This Week I Spent My Time On

🕑︎ Time Zone: Europe/Istanbul

💬 Programming Languages: 
Python                   37 hrs 30 mins      ⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿   98.58 % 
Markdown                 20 mins             ⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀   00.89 % 
SQL                      9 mins              ⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀   00.41 % 
CSV                      2 mins              ⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀   00.12 % 

🔥 Editors: 
Chrome                   32 hrs 50 mins      ⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣀⣀⣀   86.33 % 
Excel                    3 hrs 56 mins       ⣿⣿⣿⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀   10.37 % 
VS Code                  1 hr 15 mins        ⣿⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀   03.31 % 

🐱‍💻 Projects: 
Coding                   17 hrs 8 mins       ⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀   44.99 % 
Reading                  8 hrs 22 mins       ⣿⣿⣿⣿⣿⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀   21.99 % 
GitHub                   5 hrs 37 mins       ⣿⣿⣿⣿⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀   14.75 % 
Unknown Project          3 hrs 56 mins       ⣿⣿⣿⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀   10.35 % 
PythonForDataAnalysis    2 hrs 24 mins       ⣿⣿⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀   06.32 % 

💻 Operating System: 
Windows                  38 hrs 2 mins       ⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿   100.00 % 

I Mostly Code in Jupyter Notebook

Jupyter Notebook         41 repos            ⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀   58.57 % 
Python                   11 repos            ⣿⣿⣿⣿⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀   15.71 % 
HTML                     7 repos             ⣿⣿⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀   10.00 % 
Java                     7 repos             ⣿⣿⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀   10.00 % 
TeX                      1 repo              ⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀   01.43 % 

Timeline

Lines of Code chart

Last Updated on 07/11/2024 01:48:40 UTC

Pinned Loading

  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 145 43

  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 16 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 17 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 7

  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 10 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 9 1