Vladyslav Shanin

Lead Machine Learning Engineer at DataRoot Labs
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Contact Information
us****@****om
(386) 825-5501
Location
Kyiv, Kyiv City, Ukraine, UA
Languages
  • Ukrainian Native or bilingual proficiency
  • English Full professional proficiency
Skills

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Credentials

  • Team Management Course
    Projector Institute
    May, 2023
    - Nov, 2024

Experience

  • DataRoot Labs
    • Ukraine
    • Software Development
    • 1 - 100 Employee
    • Lead Machine Learning Engineer
      • Aug 2022 - Present

      - pre-sale activities- communications and requirements set up- planning- system design- team leading- demonstrations

    • Machine Learning Engineer
      • Nov 2019 - Present

      Development of Empathetic & Intelligent Virtual Assistant- system and data flow designing;- papers research;- models training and deployment;- models optimization;- designing tools for the non-technical teams;- data visualisation and alerting;

    • Data Scientist
      • Feb 2018 - Oct 2019

      - developing a machine learning system for trading on cryptocurrency exchanges;- implementation of market data collecting systems from stock exchanges in real-time for continuous model improvements and testing;- complex processing and analysis of market and blockchain data;- implementing of decision approaches based on technical analysis and models ensemble;- building ETL data pipelines using APIs, MongoDB and Apache Kafka;- dedicated servers configuration;

  • Databand.ai
    • United States
    • IT Services and IT Consulting
    • 1 - 100 Employee
    • Data Scientist
      • Aug 2019 - Mar 2021

      - research of methods of how to achieve better observability over data pipelines with statistical analysis of historical performance and distributions; - design of alerting system to monitor the running system and identify potentially dangerous anomalies in data or task runtime that can affect business performance; - preparing platform demos to show its possibilities and integrations with various external tools and data sources; - research of methods of how to achieve better observability over data pipelines with statistical analysis of historical performance and distributions; - design of alerting system to monitor the running system and identify potentially dangerous anomalies in data or task runtime that can affect business performance; - preparing platform demos to show its possibilities and integrations with various external tools and data sources;

  • Horizon 2020, AMMODIT
    • Kyiv City, Ukraine
    • Research Assistant
      • Sep 2017 - Mar 2018

      - research glycemia behavior for prediction of nocturnal hypoglycemia for diabetics using continuous glucose monitor sensor data; - make a monitoring system to track glycemia during the daytime and provide hints about nocturnal hypoglycemia; - prepare publications and the conference speeches; - research glycemia behavior for prediction of nocturnal hypoglycemia for diabetics using continuous glucose monitor sensor data; - make a monitoring system to track glycemia during the daytime and provide hints about nocturnal hypoglycemia; - prepare publications and the conference speeches;

Education

  • National Technical University of Ukraine 'Kyiv Polytechnic Institute'​
    Master's degree, Data Science and Mathematical Modelling
    2019 - 2021
  • Mälardalen University
    Computer Science
    2018 - 2018
  • National Technical University of Ukraine 'Kyiv Polytechnic Institute'​
    Bachelor's degree, Applied Mathematics
    2015 - 2019

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