Dr. Jim Sellmeijer

Freiberuflich, Freelance Software Developer and Data Scientist, jimsellmeijer.com

Berlin, Deutschland

Fähigkeiten und Kenntnisse

Machine Learning
Data Science
Natural language processing
Data Analysis
Statistics
Python-Programmierung
API development
Research
Data Modelling
SQL
Predictive analytics
Amazon Web Services
Softwareentwicklung

Werdegang

Berufserfahrung von Jim Sellmeijer

  • Bis heute 3 Jahre und 9 Monate, seit Sep. 2020

    Chief Technology Officer (CTO) - Co-founder

    Workbee
  • Bis heute 3 Jahre und 11 Monate, seit Juli 2020

    Founder

    Raskal Games

  • Bis heute 4 Jahre und 7 Monate, seit Nov. 2019

    Freelance Software Developer and Data Scientist

    jimsellmeijer.com

  • 2 Jahre und 3 Monate, Juli 2018 - Sep. 2020

    Data Scientist (+ Scrum master)

    Searchtalent

    At Searchtalent I develop software to automate the recruitment process. With use of machine learning we developed tools to automatically parse job ads and CV’s, search for fitting candidates and contact them through our custom build ATS.

  • 7 Monate, Dez. 2017 - Juni 2018

    Data Scientist

    Talent Data Labs

    At Talent Data Labs we use data science within HR technology and recruitment. By using a combination of machine learning and data mining, we developed scientifically validated tools in talent-data analytics that help predict employee productivity, such as success profiles, cultural-fit prediction, job-matching and pre-qualification.

  • 4 Monate, Nov. 2016 - Feb. 2017

    Creative Coder

    Volkswagen AG
  • 3 Jahre und 1 Monat, Okt. 2013 - Okt. 2016

    PhD Candidate

    University of Strasbourg

    For this triple PhD I worked at the Universities of Strasbourg, Freiburg and Basel, from each of which I received the PhD degree. Here, we studied the role of the anterior cingulate cortex (ACC) in the sensory, aversive and anxiodepressive consequences of chronic pain by combining a wide variety of techniques ranging from in vivo electrophysiology, optogenetics and behavioral studies. Data was analyzed through a combination of machine learning and statistical analysis. I graduated Magna Cum Laude.

Ausbildung von Jim Sellmeijer

  • 2013 - 2016

    Neuroscience

    University of Strasbourg, Freiburg and Basel

  • 2010 - 2012

    Brain and Cognitive Sciences: Neuroscience

    University of Amsterdam

  • 2007 - 2010

    Psychobiology

    University of Amsterdam

Sprachen

  • Englisch

    Muttersprache

  • Niederländisch

    Muttersprache

  • Deutsch

    Fließend

  • Afrikaans

    -

Interessen

Machine Learning
Artificial intelligence
Technology
Science
Game design
Traveling

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