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Malt Strategy
Malt Strategy
Benjamin KraskaBK

Benjamin Kraska

data scientist

720 €/Tag
Paris, FR
3-7 Jahre
Python
Spark

Durchschnittliche Reaktionszeit: 1h

Über Benjamin

Data scientist / data engineer with experience in machine learning, data science and Python software development. In my past projects, I have helped installing a stream processing system for Deutsche Telekom and create a machine learning PoC for Infineon Technologies.

  • Englisch

    Verhandlungssicher

  • Deutsch

    Muttersprachlich oder zweisprachig

  • Spanisch

    Konversationssicher

Vor Ort möglich
Paris (bis zu 50 km)

Projekt- und Berufserfahrung

  • TNG Technology Consulting
    Full-stack developer
    DIGITALAGENTUREN & IT-CONSULTING
    August 2016 - Juli 2017 (11 Monate)
    München, Deutschland
    - Full-stack web development using JavaScript, TypeScript, React.js, Backbone.js, Jasmine, HTML5, CSS3, Python, Tornado, MongoDB, Redis, AWS
    - CI / CD, TDD, Jenkins, agile (Scrum), Git
    Python MongoDB AWS JavaScript React.js Tornado TypeScript Redis
  • Deutsche Telekom
    Data Scientist
    TELEKOMMUNIKATION
    August 2017 - Dezember 2017 (5 Monate)
    Frankfurt am Main, Deutschland
    - Installation and configuration of a stream processing system using Docker, DC/OS, Mesos, Cassandra, Kafka, Microsoft Azure, Elasticsearch, Logstash, Kibana, ZooKeeper
    - Statistical analysis of telecommunications data using Python, NumPy, pandas, scikit-learn
    Python scikit-learn Numpy Microsoft Azure pandas Docker DC/OS Mesos Cassandra Kafka ELK
  • Telefónica Deutschland
    Data Engineer
    TELEKOMMUNIKATION
    April 2018 - Juli 2018 (3 Monate)
    München, Deutschland
    - Development of code analysis tools using Pyspark, Python and Hadoop
    - Database modeling and administration with Oracle PL/SQL
    - Design of Tableau dashboards
    Python Spark Hadoop Oracle PL/SQL PL/SQL Tableau
Gesamte Berufserfahrung von Benjamin ansehen

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Ausbildung und Abschlüsse

  • Master of Science in Mathematical Statistics
    Lund University, Lund, Schweden
    2015
    Specializations: Monte Carlo methods and financial mathematics Topic of Master’s thesis: „A comparison of the FGL and COS method in option pricing“ (grade: passed with distinction, Swedish system)
  • Bachelor of Science in Mathematics
    Westphalian Wilhelms University Münster, Germany
    2012
    Specializations: Probability theory, mathematical logic Topic of Bachelor’s thesis: “Portfolio optimization with the Markowitz approach” (grade: 1.0, German system) GPA: 2.0, German system

Fähigkeiten

Hadoop
Hive
SQL
Django
Flask
Machine learning
Data science
Deep Learning
Git
Scikit-learn
Data mining
Data visualisation
MongoDB
AWS
JavaScript
React.js
Tornado
TypeScript
Redis
Numpy
Microsoft Azure
pandas
Docker
DC/OS
Mesos
Cassandra
Kafka
ELK
Oracle PL/SQL
PL/SQL
Tableau
Anforderungsanalyse
Requirements Engineering
Softwarearchitektur
Jenkins
Cloud Foundry
MySQL
gunicorn
Continuous Integration
Continuous Delivery
Pyspark

Kategorien