Daniel Ecer

Data Scientist at eLife Sciences Publications, Ltd.
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Contact Information
us****@****om
(386) 825-5501
Location
United Kingdom, UK
Languages
  • German Native or bilingual proficiency
  • English Native or bilingual proficiency
  • Spanish Limited working proficiency
  • Japanese Elementary proficiency

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Credentials

  • Human-Computer Interaction
    Coursera
    Aug, 2014
    - Nov, 2024
  • Functional Programming Principles in Scala
    Coursera
    Jun, 2014
    - Nov, 2024
  • Machine Learning
    Coursera
    Jan, 2014
    - Nov, 2024

Experience

  • eLife Sciences Publications, Ltd.
    • United Kingdom
    • Book and Periodical Publishing
    • 1 - 100 Employee
    • Data Scientist
      • Jul 2017 - Present

      Tasks and Achievements:- Extended and improved previously developed reviewer / expert recommendation engine- Lead initial development of internal data platform- Supervision of Data Science projects- Semantic content extraction from scholarly documents (PDF): ScienceBeamAn overview of the related technologies/libraries used:- Google Cloud Platform (GCP): e.g. Data Studio, BigQuery, Apache Beam, Google Kubernetes Engine (GKE)- Apache Airflow- Natural Language Processing (NLP): SpaCy, TensorFlow, Keras, GROBID Show less

    • Data Science Consultant
      • Mar 2017 - Jun 2017

      Productionise previously developed reviewer recommendation engine prototype.Semantic content extraction from scholarly documents (PDF).

    • Data Science Consultant
      • Jan 2017 - Mar 2017

      Implemented peer reviewer recommendation engine prototype:- Data retrieval (AWS), cleaning, enriching with external sources- Analysis using Jupyter, Python, NumPy and Pandas- Visualisation using seaborn, pyLDAvis, t-SNE, Bokeh- NLP using NLTK/SpaCy, LDA, doc2vec for document similarity (iterations of models)- Prototype using Python Flask REST server and JavaScript React client- Data pipeline to keep the protoype up-to-date

  • Faculty
    • United Kingdom
    • Technology, Information and Internet
    • 200 - 300 Employee
    • Data Science Fellowship
      • Jan 2017 - Mar 2017

      Intensive 8 week programme that helped to develop key data science skills: - Data cleaning and analysis: NumPy, Pandas, Python, visualisation - Machine learning: Decision Trees, KNN, SVM, Neural Networks - Distributed computing: Dask, pySpark Intensive 8 week programme that helped to develop key data science skills: - Data cleaning and analysis: NumPy, Pandas, Python, visualisation - Machine learning: Decision Trees, KNN, SVM, Neural Networks - Distributed computing: Dask, pySpark

  • FNZ (formerly JHC)
    • United Kingdom
    • Financial Services
    • 100 - 200 Employee
    • Technical Specialist
      • Aug 2008 - Dec 2016

      Technical Specialist for Java/Web area. Role: Go-to person, knowlegde sharing, consultancy, development An overview of the related technologies/libraries used: – Mobile application: React Native – SPA: JavaScript(ES6), TypeScript, CSS, AngularJS, React – Middleware: NodeJS, Vert.x, Scala – Java Web: Java, JEE, Spring, Wicket, JSP, JSTL, Struts, Servlets, HTML – Standalone applications: Java, Delphi – Database: AS/400, RPG, SQL, JDBC, JCR – Development: Eclipse, Ant, JUnit, Maven, Subversion, Git Show less

  • SITA
    • Switzerland
    • IT Services and IT Consulting
    • 700 & Above Employee
    • Software Developer
      • Apr 2006 - Aug 2008

      Role: Participated in development and maintenance Timatic system, lead developer of small team The following list gives an overview of some of the technologies/libraries used: – Front end for Web application: WebLogic, Java, J2EE, JSP, JSTL, Struts, Servlets, XSLT, HTML, JavaScript, lenya/cocoon (CMS) – Legacy applications: C++, MQ Series, JNI – Web services: SOAP, XML, DOM, Castor, Axis – Standalone applications: Java – Database: Oracle, SQL, JDBC, Spring – Development: Eclipse, CDT, Ant, JUnit, CVS Show less

  • IVU Traffic Technologies
    • Germany
    • IT Services and IT Consulting
    • 300 - 400 Employee
    • Software Developer
      • Apr 2000 - Oct 2005

      (part time while studying at University) An overview of the related technologies/libraries used: – Map integration using MapTP by Mapsolute: Java – Front end for Web applications: ASP, HTML, JavaScript – Client/Server application: Java / Eclipse Plugin, J2EE – Applications/Components: Delphi and VC++ – On-board-unit application: embedded VC++ – Integration of on-board-units: Delphi – Map updates and changes: MapInfo MapX (part time while studying at University) An overview of the related technologies/libraries used: – Map integration using MapTP by Mapsolute: Java – Front end for Web applications: ASP, HTML, JavaScript – Client/Server application: Java / Eclipse Plugin, J2EE – Applications/Components: Delphi and VC++ – On-board-unit application: embedded VC++ – Integration of on-board-units: Delphi – Map updates and changes: MapInfo MapX

Education

  • Technische Fachhochschule Berlin
    BSc(Hons), media and computing
    2001 - 2005

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