PORTFOLIO

ABOUT

  • A self-taught woman in artificial intelligence for healthcare
  • Interested in Neuroscience, Neuroimaging, Genomics, Bioinformatics, Cancer Research
  • MicroMaster Student in Artificial Intelligence at Columbia University
  • COVID-19 Medical Image AI Research and Development Volunteer Engineer at Arterys (Remotely)

EDUCATION

2020 – Sep –
Current

Micro Master: Artificial Intelligence
Columbia University in the City of New York – New York, United States

  • Remotely
  • 90% scholarship
  • Coursework in
  • Artificial Intelligence: Search Algorithms, Adversarial Search and Games, Perceptron Learning Algorithm, Linear Regression, Classification, Constraint Satisfaction Problems, Natural Language Processing
  • Machine Learning: Linear Regression, Classification, Clustering, HMM and State-space Problems
  • Robotics: ROS ecosystem (base, robot, camera, object), Forward kinematics for a robot arm defined in a URDF, Cartesian controller for the 7-joint robot arm, Rapidly-exploring Random Tree (RRT) motion planner
  • Animation & CGI (Computer- generated Imagery) Motion: Mass-Spring Systems, Krusty’s Crazy Collisions, Rigid Body Simulation, Elastic Body Simulation, Fluid Simulation

2014 – Sep –
2019 – Aug

Bachelor of Engineering: Computer Engineering
Altınbaş University, Istanbul, Turkey

  • Graduated with 2.98 GPA
  • Coursework in Artificial Intelligence, Computer Vision
  • Minored in Electrical & Electronic Engineering with 2.88 GPA

BOOTCAMP

2021 – Jul –
Current

Data Science for Public Good
Kodluyoruz, Istanbul, Turkey

  • Coursework in Python, Matrices, Machine Learning, Deep Learning, Data Science
  • Instructor: Engin Deniz Alpman

2020 – Dec –
2021 – Jul

2020 – Feb –
2020 – Apr

35th Istanbul Applied Data Science Bootcamp
Kodluyoruz, Istanbul, Turkey

2019 – Nov –
2020 – Feb

Applied Machine Learning and Numerical Software Development
Organon Analytics, Boğaziçi University, Istanbul, Turkey


EXPERIENCE

2020 – Jul –
Present

Content Creator
AI Coding Woman, Istanbul, Turkey

  • AI Coding Woman is a blog I created to share my passion for technology and to support people who want to progress in this field as well as helping them to reach the most accurate information in this field.

2019 – Jan –
2019 – Sep

Artificial Intelligence Intern (NLP)
Conff R&D, Istanbul, Turkey

  • Designed a Text- Analysis and Comparison application between 2 or 3 documents that uploaded by user
  • Used Python Language

2018 – Jun –
2018 – Aug

Software Development Intern
Mentornity, Istanbul, Turkey

  • Designed an interactive Android Application program with the software development department

VOLUNTEER EXPERIENCE

2020- Oct-
Current

COVID-19 Medical Image AI Model Research and Development Engineer (Volunteer, Remotely)
Arterys: Medical Imaging Cloud, San Francisco, California, USA

  • Participating in the development of machine learning research.
  • Applying medical image processing techniques to build, maintain, and improve analytics COVID-19 datasets to gain actionable insights.

2020 – Mar –
2020 – Aug

Data Science for Development Assistance (Volunteer, Remotely)
UNDP, Istanbul, Turkey

  • Participated in the development of machine learning research.
  • Applied natural language processing techniques to build, maintain, and improve analytics, and organize large datasets to gain actionable insights.

SKILLS

Programming Skills

  • Python, R, MATLAB, C / C++, Java, HTML, CSS, JavaScript

Frameworks

  • TensorFlow, PyTorch, scikit-learn, Spark ML, Keras

Technical Skills

  • Software research and development, WordPress, Machine Learning, Deep Learning, Image Processing, Robotics, Computer – Generated Imagery Motion

Analytical Skills

  • Research, Reporting, Data Analysis, Data Visualization

ACCOMPLISHMENTS

Structuring Machine Learning Projects
DeepLearning.AI • August 2021

See Certificate

Supervised Machine Learning: Regression
IBM • August 2021

See Certificate

AI Product Manager Nanodegree Program
Udacity – Bertelsmann• July 2021

See Certificate

RECENT POSTS

Niçin Tıp Alanında Yapay Zeka’ya İhtiyaç Var?

Tıpta Yapay Zeka Nedİr? Yapay zeka gerçek veriler arasındaki birbiri ile olan ilişkileri tanımlayabildiğinden dolayı, birçok tıbbi durumda teşhis, tedavi ve tahminleri desteklemek için kullanılabilir. Yapay zeka, ilaç geliştirme, hasta izleme ve kişiselleştirilmiş hasta tedavi planları olmak üzere hemen hemen her tıp alanında uygulama potansiyeline sahiptir. Yapay zeka, beynin sinir ağlarının şekillenmesinden sonra şekillenir. Verileri…

Data Science Life Cycle

The most important experience I have gained in the data science project is a systematic order of project. As long as you follow this order, you can understand what you did, or what you will do in the next step. So how should we apply this order in the project? I explained the whole system…

Sağlık Alanında Veri Bilimi

Geleneksel olarak, tıp yalnızca doktorların tavsiye ettiği sağduyuya inanıyordu. Lakin modern tıp bilgisayar dünyasının da gücünü kullanarak tıbbı görüntülüme, ilaç keşfi, genetik, teşhis ve tedavi de tıp dünyasında dengelerin değişmesini sağladı. Şimdi bu alanları tek tek inceleyelim. Tıbbı Görüntüleme için Veri Bilimi Sağlık sektöründe veri biliminin birincil ve en önemli kullanımı tıbbi görüntülemedir. X-ray, MRI…

 

PROJECTS

Bioactivity Prediction App

Drug Discovery Using Machine Learning and Data Analysis

This project was done in the Bioinformatics lecture by Chanin Nantasenamat. You can find my notes and rearranged codes in this Project documents for better understanding while taking this course.


Chest X-ray Image Classification (Pneumonia) by using PyTorch, CNN

In this project, Chest X-ray images were analyzed with Convolutional Neural Network using Data Augmentation, EDA.


Emotional AI Facial Key Points Detection


CONTACT

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