Skip to content
View edaaydinea's full-sized avatar
:octocat:
Getting artificial intelligence down to a fine art
:octocat:
Getting artificial intelligence down to a fine art
197 followers · 97 following

Achievements

Achievement: Starstruckx2Achievement: QuickdrawAchievement: Pull SharkAchievement: Arctic Code Vault Contributor

Achievements

Achievement: Starstruckx2Achievement: QuickdrawAchievement: Pull SharkAchievement: Arctic Code Vault Contributor

Highlights

Organizations

@NeuralAILab @PRAISELAB @DataLensStrategies

Block or report edaaydinea

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
edaaydinea/README.md

Eda AYDIN

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

I'm a Data Analyst, Data Scientist NLP - Generative AI - LLM - Prompt Engineer.

🎓My Learning Journey

💼 My Experience Journey

  • Data Analyst, Data Scientist (2024 - )
  • Coding Specialist in AI, NLP - Generative AI - LLM - Prompt Engineer (2024 - )
  • Graduate Research Student in Computational Neuroscience and Neurodegenerative diseases (2023 - 2024)
  • Deep Learning Engineer in Providing Artificial Intelligence Software for Medical Imaging (2023 - 2024)
  • Data Mining Analytst (2023 - 2023)
  • Machine Learning & Deep Learning Engineer (2022 - 2023)
  • Graduate Research Student in Traumatic Brain Injury (2022)
  • Graduate Research Student in Dementia (2022)
  • Graduate Research Student in Multiple Sclerosis (2021)
  • Machine Learning Project Team Lead (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 Engineer - Intern (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

Machine Learning, Deep Learning, Image Processing

Anaconda OpenCV

Keras PyTorch TensorFlow mlflow

NumPy Pandas SciPy Plotly Matplotlib

scikit-learn

Web Development

FastAPI

Databases

MySQL Postgres SQLite

Coding and Analytic Tools

IDEs/Editors

Visual Studio Code
Jupyter Notebook PyCharm RStudio

Data Analytics and Visualizations

Microsoft Excel Tableau Power Bi

Programming and Language Technologies

Python R LaTeX Markdown

Operating Systems

Linux Ubuntu

Developer Platforms and Community Engagement

Coding Platforms

Hackerrank LeetCode Exercism Codewars

Data Science and ML Competitions

Kaggle 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

📦 4.1 MB Used in GitHub's Storage

🏆 21 Contributions in the Year 2025

🚫 Not Opted to Hire

📜 109 Public Repositories

🔑 29 Private Repositories

I'm a Night 🦉

🌞 Morning                157 commits         ⣿⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀   02.95 % 
🌆 Daytime                1503 commits        ⣿⣿⣿⣿⣿⣿⣿⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀   28.21 % 
🌃 Evening                2172 commits        ⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀   40.77 % 
🌙 Night                  1496 commits        ⣿⣿⣿⣿⣿⣿⣿⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀   28.08 %

📅 I'm Most Productive on Monday

Monday                   909 commits         ⣿⣿⣿⣿⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀   17.06 % 
Tuesday                  849 commits         ⣿⣿⣿⣿⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀   15.93 % 
Wednesday                767 commits         ⣿⣿⣿⣿⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀   14.40 % 
Thursday                 900 commits         ⣿⣿⣿⣿⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀   16.89 % 
Friday                   609 commits         ⣿⣿⣿⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀   11.43 % 
Saturday                 643 commits         ⣿⣿⣿⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀   12.07 % 
Sunday                   651 commits         ⣿⣿⣿⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀   12.22 %

📊 This Week I Spent My Time On

🕑︎ Time Zone: Europe/Istanbul

💬 Programming Languages: 
Python                   37 hrs 21 mins      ⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿   99.68 % 
Markdown                 4 mins              ⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀   00.18 % 
Git Config               2 mins              ⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀   00.13 % 
Text                     0 secs              ⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀   00.00 % 

🔥 Editors: 
Chrome                   34 hrs 46 mins      ⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣀⣀   92.79 % 
VS Code                  2 hrs 12 mins       ⣿⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀   05.89 % 
Edge                     21 mins             ⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀   00.94 % 
Excel                    5 mins              ⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀   00.24 % 
Word                     1 min               ⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀   00.07 % 

🐱‍💻 Projects: 
GitHub                   12 hrs 18 mins      ⣿⣿⣿⣿⣿⣿⣿⣿⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀   32.84 % 
in_PythonTipsTricks      6 hrs 49 mins       ⣿⣿⣿⣿⣿⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀   18.20 % 
in_AdvancedNLPwithPythonF6 hrs 42 mins       ⣿⣿⣿⣿⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀   17.90 % 
in_HandsOnNLP            5 hrs 12 mins       ⣿⣿⣿⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀   13.91 % 
in_LearningRTidyverse    4 hrs 4 mins        ⣿⣿⣿⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀   10.86 % 

💻 Operating System: 
Windows                  37 hrs 28 mins      ⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿   100.00 %

I Mostly Code in Jupyter Notebook

Jupyter Notebook         47 repos            ⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀   58.02 % 
HTML                     7 repos             ⣿⣿⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀   08.64 % 
R                        3 repos             ⣿⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀   03.70 % 
JavaScript               1 repo              ⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀   01.23 % 
TSQL                     1 repo              ⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀   01.23 %

Timeline

Lines of Code chart

Last Updated on 12/01/2025 01:59:53 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 154 48

  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 17 2

  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 18 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 2

  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