Anna Aljanaki

Data Scientist at Datafruit
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Contact Information
us****@****om
(386) 825-5501
Location
Estonia, EE
Languages
  • English -
  • Estonian -
  • Russian -
  • Italian -
  • Polish -
  • Dutch -
Skills

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Bio

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Credentials

  • Professional Data Engineer
    Google Cloud Platform Certified
    Oct, 2018
    - Nov, 2024

Experience

  • Datafruit
    • Estonia
    • Business Consulting and Services
    • 1 - 100 Employee
    • Data Scientist
      • Sep 2020 - Present

      Implementing end-to-end pipelines in ML (churn prediction, fraud detection), data analysis Implementing end-to-end pipelines in ML (churn prediction, fraud detection), data analysis

  • University of Tartu
    • Estonia
    • Higher Education
    • 700 & Above Employee
    • Lecturer in Informatics
      • Aug 2019 - Present

  • Mooncascade
    • Estonia
    • Software Development
    • 1 - 100 Employee
    • Data Scientist
      • May 2018 - Aug 2019

      Helping companies to make better use of their data to improve their KPI and tap into currently unexplored potential sitting somewhere in their Hadoop clusters Helping companies to make better use of their data to improve their KPI and tap into currently unexplored potential sitting somewhere in their Hadoop clusters

  • Johannes Kepler Universität Linz
    • Austria
    • Higher Education
    • 700 & Above Employee
    • Postdoctoral Researcher
      • Oct 2017 - May 2018

  • University of Geneva
    • Switzerland
    • Research Services
    • 700 & Above Employee
    • Postdoctoral Researcher
      • Sep 2016 - Aug 2017

      A one-year postdoctoral research stay with a topic of training neural networks on musical data to recognize mid-level properties A one-year postdoctoral research stay with a topic of training neural networks on musical data to recognize mid-level properties

  • Utrecht University
    • Netherlands
    • Higher Education
    • 700 & Above Employee
    • PhD student (MIR)
      • May 2012 - May 2016

      My PhD consisted of three main projects, all of them dealing with recognition of emotion from musical audio: predicting induced (felt) musical emotion, segmenting audio into emotionally homogenous parts, co-organizing Emotion in Music task at MediaEval evaluation benchmark. My PhD consisted of three main projects, all of them dealing with recognition of emotion from musical audio: predicting induced (felt) musical emotion, segmenting audio into emotionally homogenous parts, co-organizing Emotion in Music task at MediaEval evaluation benchmark.

  • STACC
    • Estonia
    • IT Services and IT Consulting
    • 1 - 100 Employee
    • Data Scientist
      • Jul 2010 - Apr 2012

      Data mining: Predicting sales using structured data from an online shop Geospatial data from GPS logs Data mining: Predicting sales using structured data from an online shop Geospatial data from GPS logs

  • Boku
    • United States
    • Financial Services
    • 200 - 300 Employee
    • Software Developer
      • 2007 - 2010

      worked as Java, later Ruby on Rails developer worked as Java, later Ruby on Rails developer

Education

  • Utrecht University
    Doctor of Philosophy (PhD), Computer Science
    2012 - 2016
  • Tartu Ülikool
    Master, Computer Science
    2008 - 2010
  • Tartu Ülikool
    Bachelor's degree, Computer Science
    2005 - 2008

Community

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