Pavel Tyshevskyi

Pavel Tyshevskyi

Machine Learning Consultant


I’m deeply passionate about Machine Learning, both from theoretical perspective and pragmatic applications.


  • Artificial Intelligence
  • Machine Learning
  • Mathematics


  • BSc in Computer Science, 2021

    National University of Water Engineering

  • Software Architect, 2020

    School 42



Data Scientist


2019 – Present
SKF AI department focus is on Anomaly Detection and Prediction for Predictive Maintenance. Being part of the Automation team, I scaled the processing pipeline to millions of machines streaming high-density time series sensor data. I was also solely responsible for the research into novel methods of Outlier Detection and Hyperparameters Optimization.

Middle Machine Learning Engineer


2019 – 2020
Being part of the Personalization team, my focus was to provide users with targeted cash-back so as to increase brand loyalty or secure a potential buy from a certain category. I also did research into merchant-to-user and user-to-merchant recommendation systems.

Junior Computer Vision Engineer


2018 – 2019

I was part of a research team for one of the top players in the Automotive industry. My responsibilities included data preprocessing, visualization and statistical modeling. Tackled problems such as:

  • Camera-to-LiDAR auto-calibration
  • Driver Face Recognition and Gaze Tracking
  • Multi-object tracking on LiDAR data.


Probability Theory

See certificate

EF SET English Certificate 77/100 (C2 Proficient)

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Neural Networks and Deep Learning

See certificate