Ivan Piaternev

Experience

• 

  Asteros

  Oct 2017 - Mar 2018

  Junior Data Scientist

  - QA-model for call center personal- the predictive model of equipment breakdowns (petrochemicals)

• 

  TrackTrack

  Mar 2018 - Jun 2018

  Machine Learning Engineer

  - news classification with text classification algorithms- parser for collecting information for platform

• 

  CROC

  Jun 2018 - Apr 2020

  Data Scientist

  - the predictive model of equipment breakdowns- object detection and object tracking models- search for analogues (NLP)technological stack: Python with ML libraries, TensorFlow, PyTorch

• 

  Sberbank

  May 2020 - Jun 2021

  Data Scientist

  As part of the Personalisation Products team, I am working on recommendation models that help us to send only relevant promotions to clientstechnological stack: Python with ML libraries, Spark, PySpark, Scala

• 

  Higher School of Economics

  Sept 2020 - Jun 2021

  Research Engineer

  As a part of the NL2ML team in the LAMBDA lab, I am working on creating the dataset for creating ML pipelines based on Kaggle notebooks (https://arxiv.org/abs/2201.11252)

• 

  Grid Dynamics

  Jul 2021 - Jul 2022

  Data Scientist
• 

  NatWest Group

  Aug 2022 - now

  creating models and data pipelines to support bank app users and internal customers

  • Senior Machine Learning Engineer

    Jan 2025 - now

  • Machine Learning Engineer

    Aug 2022 - Jan 2025