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 |
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🐱 My GitHub Data
📦 3.7 MB Used in GitHub's Storage
🏆 1,198 Contributions in the Year 2024
🚫 Not Opted to Hire
📜 97 Public Repositories
🔑 12 Private Repositories
I'm a Night 🦉
🌞 Morning 156 commits ⣿⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀ 03.22 %
🌆 Daytime 1451 commits ⣿⣿⣿⣿⣿⣿⣿⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀ 29.97 %
🌃 Evening 1941 commits ⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀ 40.10 %
🌙 Night 1293 commits ⣿⣿⣿⣿⣿⣿⣿⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀ 26.71 %
📅 I'm Most Productive on Monday
Monday 876 commits ⣿⣿⣿⣿⣿⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀ 18.10 %
Tuesday 751 commits ⣿⣿⣿⣿⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀ 15.51 %
Wednesday 662 commits ⣿⣿⣿⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀ 13.67 %
Thursday 797 commits ⣿⣿⣿⣿⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀ 16.46 %
Friday 521 commits ⣿⣿⣿⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀ 10.76 %
Saturday 601 commits ⣿⣿⣿⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀ 12.41 %
Sunday 633 commits ⣿⣿⣿⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀ 13.08 %
📊 This Week I Spent My Time On
🕑︎ Time Zone: Europe/Istanbul
💬 Programming Languages:
Python 24 hrs 43 mins ⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣀⣀ 91.45 %
Markdown 1 hr 48 mins ⣿⣿⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀ 06.70 %
Git Config 12 mins ⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀ 00.77 %
Text 10 mins ⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀ 00.62 %
HTML 3 mins ⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀ 00.21 %
🔥 Editors:
VS Code 14 hrs 49 mins ⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀ 54.82 %
Chrome 12 hrs ⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀ 44.44 %
PyCharm 11 mins ⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀ 00.74 %
🐱💻 Projects:
HandsOnMachineLearningWit4 hrs 53 mins ⣿⣿⣿⣿⣿⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀ 18.07 %
PythonCrashCourse 4 hrs 49 mins ⣿⣿⣿⣿⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀ 17.83 %
AutomateTheBoringWithPyth4 hrs 45 mins ⣿⣿⣿⣿⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀ 17.60 %
in_ConceptsDataVisualizat3 hrs 36 mins ⣿⣿⣿⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀ 13.36 %
Coding 3 hrs 23 mins ⣿⣿⣿⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀ 12.55 %
💻 Operating System:
Windows 27 hrs 1 min ⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿ 100.00 %
I Mostly Code in Jupyter Notebook
Jupyter Notebook 38 repos ⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀ 55.88 %
Python 13 repos ⣿⣿⣿⣿⣿⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀ 19.12 %
Java 7 repos ⣿⣿⣿⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀ 10.29 %
HTML 6 repos ⣿⣿⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀ 08.82 %
TeX 1 repo ⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀ 01.47 %
Timeline
Last Updated on 12/10/2024 01:47:11 UTC