il-yanko Goto Github PK

I am a recent engineering graduate, passionate about the intersection of data science, technology, and healthcare. My experience includes 5 years of ML‑focused research experience and 3 internships in data science. Check my LinkedIn for my full job and project history.

• I have experience working with many different programming languages, software, and frameworks, most notably Python, SQL, C, Power BI, and AWS Cloud.

• I have developed code using Python packages, such as Numpy, Scipy, Pandas, OpenCV, Matplotlib, Scikit-Learn, Pytorch, and Tensorflow.

  Education 📚

  • Master of Science in Biomedical Engineering (Specialization: Medical Imaging Processing)
    [🇨🇦 Canada, University of Calgary], [2020-2023]
  • Master of Science in Computer Science (Specialization: Artificial Intelligence)
    [🇺🇦 Ukraine, Taras Shevchenko National University of Kyiv], [2019-2021]
  • Bachelor's degree in Computer Science
    [🇺🇦 Ukraine, Igor Sikorsky Kyiv Polytechnic Institute], [2015-2019]

  Projects 💻

  1. 🤖🧠🤕Stroke-Induced Motor Weakness Severity Detection
     Developed an AI-driven system to detect motor weakness severity induced by stroke using video recordings of stroke survivors under the supervision of Dr. Mohammed Almekhlafi from the Stroke Unit in the Foothills Medical Centre in Calgary, Canada and Dr. Svetlana Yanushkevich from the Biometric Technologies Lab of the University of Calgary. Leveraging a carefully gathered dataset, cutting-edge technology, and innovative data processing, I proposed a novel approach that integrates human pose estimation and time series analysis for critical healthcare applications. This project aims to enhance post-stroke patient care through innovative technology.
  2. 🤖🩻 Medical Imaging: Ultrasound Image Liver Disease Classifier
     Developed an innovative ultrasound image classifier for detecting liver diseases. This project involved leveraging advanced image processing techniques and machine learning algorithms.
  3. 🤖💃Behavior Biometrics: Time-Series Gesture Classifier
     Designed and implemented a time-series gesture classifier to analyze and recognize human gestures recorded via LeapMotion device. This project enhanced my understanding of behavioral biometrics in Action Recognition.
  4. 🧠🫱😛Neuromatch Academy (Computational Neuroscience): ECoG Brain Recordings Exploratory Data Analysis and Classification
     Contributed to a Neurotech summer school project involving analyzing and classifying hand and tongue movements from the power spectrum of electrocorticography (ECoG) brain recordings. This project deepened my understanding of the use of data science in neurotechnology and its applications.
  5. 🧠👀 NeuroAlbertaTech Hackathon: EEG-Based Eye Direction Classifier
     Collaborated on a project during a neurotech hackathon, creating an EEG-based eye direction classifier. This project honed my skills in integrating EEG data and brain signals for practical software applications.

  Learning Journey 🌱

  • Areas of Focus: Data Analytics, Deep Learning Techniques, Signal Analysis, Computational Neuroscience
    I am exploring and expanding my knowledge in deep learning techniques, signal analysis, and time series processing to contribute to cutting-edge technology advancements.

  Opportunities ⚡

  Actively seeking internship data science/analytics opportunities in the following areas:
  - Signal Analysis
  - Time Series Analysis
  - Computer Vision
  Excited to apply my skills and contribute to impactful projects in these domains.

  What Drives Me 🚀

  I am driven by the belief that technology can significantly impact healthcare, climate or society. My academic background and hands-on project experiences have equipped me with a strong foundation in computer science and data science. I am excited to continue exploring innovative solutions and contributing my skills to meaningful projects that make a difference in people's lives.

  Let's Connect! 🌐

  I am open to collaboration, networking, and exploring new opportunities. Feel free to reach out to me via email at [email protected] or connect with me on LinkedIn.

  Thank you for visiting my GitHub profile! Looking forward to improving people's lives together 🚀✨