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Thank You for taking the time to view my GitHub Profile.

About Me

  • šŸ”Ø Iā€™m currently working on Automation for personalised Life Style reports generation based on 3 days ECG data.
  • šŸŒ± Iā€™m currently learning Docker, Kubernetes, Generative Art
  • šŸ‘„ Iā€™m looking to collaborate on Projects, Tech Articles
  • šŸ’¬ Talk to me about Python, Open Source, AI, Crypto

Profile

Skills

  • Hard
    • Python, LaTex, SQL
    • OpenCV, NLTK
    • PyTorch, TensorFlow, Scikit-Learn, NumPy, Scipy, Pandas, Matplotlib, Plotly, Jupiter, Reportlab, BioSPPy
    • BigQuery, TensorBoard, UnitTests, Memory profiling
  • Soft
    • Communication
    • Teamwork
    • Problem-solving
    • Work ethic

Connect with me

Ovsienko Bohdan's Projects

arrhythmia-detection icon arrhythmia-detection

This is a web application that will allow patients and cardiologists to detect arrhythmias on ECG without any special pieces of knowledge and very quickly. It saves time for patients and cardiologists so cardiologists can focus on saving more lives.

caesars-cipher icon caesars-cipher

This is a Gradle project with Kotlin implementing ceasars cipher.

ecg-classification icon ecg-classification

An electrocardiogram classification with 1D CNN on The PhysioNet Computing in Cardiology Challenge 2017

pqstpeak-detection icon pqstpeak-detection

The goal of the "PQRST peaks detection" project is to build a simple algorithm to detect P, Q, S, T points based on lead-1 ECG and annotated R-peaks.

rpeak-detection icon rpeak-detection

Comparison of different methods for the detection of R peaks on ECG signal.

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