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.
- MSc. in Data Science - University of Colorado Boulder ('26)
- Micro Master in Machine Learning, Neural Engineering - Colombia University ('24) (Graduated with honors)
- Google Associate Cloud Engineer Certificate Programme ('24)
- 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 - Colombia University ('21)
- Bachelor of Engineering in Computer Engineering - Altınbaş University ('19)
- 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)
- Predictive Modeling of Multiple Sclerosis Risk in CIS Patients - Graduate Research Project
- Predictive Modeling of Alzheimer's Disease Using Cross-Sectional and Longitudinal MRI Data - Graduate Research Project
- Predictive Modeling of Traumatic Brain Injury - Graduate Research Project
- EEG-Based Epileptic Seizure Detection Using Machine Learning Techniques - Graduate Research Project
- Investigating Corollary Discharge Mechanisms in Schizoprenia Using EEG Data - Graduate Research Project
- Electrophysiological Correlated of Cognitive Task Performance: Analyzing MSIT+, Oddball, and SRT Tasks - Graduate Research Project
- 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
- 🆕AI for Healthcare Specialization - October 2024
- 🆕Computational Neuroscience - September 2024
- 🆕Machine Learning Engineering for Production Specialization - September 2024
- 🆕Machine Learning Specialization - September 2024
- 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
- 🆕Decoding the Genome: How AI Is Revolutionizing Neurogenomics Research
- 🆕Decoding Emotions: Can AI Understand and Simulate Human Emotional Processing?
- 🆕Understanding Consciousness: Can AI Models Teach Us About the Mind?
- 🆕The Intersection of Synaptic Plasticity and AI: Hebbian Learning in Modern Algorithms
- 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
Month/Year | Competition Name | URL | Score |
February 2023 | ML Olympiad 2023 - Breast Cancer Diagnosis | ML Olympiad-Breast Cancer Diagnosis | Kaggle | 8/64 |
🐱 My GitHub Data
📦 3.7 MB Used in GitHub's Storage
🏆 1,243 Contributions in the Year 2024
🚫 Not Opted to Hire
📜 97 Public Repositories
🔑 12 Private Repositories
I'm a Night 🦉
🌞 Morning 156 commits ⣿⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀ 03.19 %
🌆 Daytime 1451 commits ⣿⣿⣿⣿⣿⣿⣿⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀ 29.70 %
🌃 Evening 1951 commits ⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀ 39.93 %
🌙 Night 1328 commits ⣿⣿⣿⣿⣿⣿⣿⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀ 27.18 %
📅 I'm Most Productive on Monday
Monday 876 commits ⣿⣿⣿⣿⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀ 17.93 %
Tuesday 796 commits ⣿⣿⣿⣿⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀ 16.29 %
Wednesday 662 commits ⣿⣿⣿⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀ 13.55 %
Thursday 797 commits ⣿⣿⣿⣿⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀ 16.31 %
Friday 521 commits ⣿⣿⣿⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀ 10.66 %
Saturday 601 commits ⣿⣿⣿⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀ 12.30 %
Sunday 633 commits ⣿⣿⣿⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀ 12.96 %
📊 This Week I Spent My Time On
🕑︎ Time Zone: Europe/Istanbul
💬 Programming Languages:
Python 41 hrs 30 mins ⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣀ 95.59 %
Markdown 1 hr 37 mins ⣿⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀ 03.74 %
Git Config 11 mins ⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀ 00.43 %
Text 4 mins ⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀ 00.17 %
HTML 1 min ⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀ 00.05 %
🔥 Editors:
Chrome 28 hrs 23 mins ⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣀⣀⣀⣀⣀⣀⣀⣀⣀ 65.39 %
VS Code 15 hrs 1 min ⣿⣿⣿⣿⣿⣿⣿⣿⣿⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀ 34.61 %
🐱💻 Projects:
AutomateTheBoringWithPyth9 hrs 22 mins ⣿⣿⣿⣿⣿⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀ 21.59 %
GitHub 5 hrs 46 mins ⣿⣿⣿⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀ 13.29 %
PythonCrashCourse 4 hrs 59 mins ⣿⣿⣿⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀ 11.51 %
HandsOnMachineLearningWit4 hrs 43 mins ⣿⣿⣿⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀ 10.89 %
Reading 4 hrs 33 mins ⣿⣿⣿⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀ 10.51 %
💻 Operating System:
Windows 43 hrs 25 mins ⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿ 100.00 %
I Mostly Code in Jupyter Notebook
Jupyter Notebook 38 repos ⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀ 55.88 %
Python 12 repos ⣿⣿⣿⣿⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀ 17.65 %
HTML 7 repos ⣿⣿⣿⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀ 10.29 %
Java 7 repos ⣿⣿⣿⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀ 10.29 %
TeX 1 repo ⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀ 01.47 %
Timeline
Last Updated on 16/10/2024 01:51:45 UTC