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Francis L. Machine Learning, Data Engineering, Data ScienceFL

Francis L.

Machine Learning, Data Engineering, Data Science
  • Suggested rate
    $1,046 / day
  • Experience8-15 years
  • Response rate100%
  • Response time1 hour
The project will begin once you accept Francis's quote.
Location and workplace preferences
Location
Berlin, Germany
Can work on-site at your office in
  • and around Berlin (up to 15km)
  • and around München (up to 15km)
Verifications

Freelancer code of conduct signed

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Verified email
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Skill set
Industry fields of expertise
Francis in a few words
Hi there!

I am a Berlin and Munich-based freelancing contractor in the field of Data Science and Data Engineering and consistently passionate about what I am dealing with.

> Methodical consulting and technical development of Machine Learning and Data Engineering Solutions
> More than 10 successfully delivered industry projects in the German speaking markets
> Cloud Engineering on AWS and Azure platforms including Databricks, Airflow and Spark
> Industry experience in E-Commerce, Pharma/Health Care, Insurance, Banking and Automotive
Experience
  • Jochen Schweizer Mydays (ProSiebenSat.1 Media)
    Machine Learning Engineer / Data Scientist
    E-COMMERCE
    July 2022 - June 2023 (11 months)
    München, Germany
    Entwicklung von Pipelines für Machine Learning, Product Ranking, Product Recommendation und Marketing-Kampagnen

    Entwicklung und Weiterentwicklung von Machine Learning Modellen für Customer Scoring und Customer Predictive Analytics auf Big Data Cluster.

    Statistische Analyse von Kampagnen inkl. A/B-Testing

    Tasks: Data Engineering, Machine Learning, Statistik

    Methoden: Supervised Learning (Random Forest, Gradient Boosting, LSTM)

    Stack: Azure Cloud, Apache Airflow, Apache Spark, Databricks, Git Bitbucket, GCP BigQuery, MLflow, MS SQL Server, Python, PySpark, Confluence, JIRA, Kanban
  • Temedica
    Data Engineering, Data Visualization
    HEALTH & WELLNESS
    November 2021 - April 2022 (5 months)
    München, Germany
    Entwicklung und Automatisierung von Pipelines zur Visualisierung und Analyse von Daten aus Social Media und Mobile-Apps.

    Entwicklung von customized Dashboards mit Plotly Dash Enterprise (Python). CI/CD mit GitHub Actions.

    Phasen: PoC > MVP > MMP

    Tasks: Data Engineering, Dashboard Programming, Database Programming

    Stack: AWS Cloud, Apache Airflow, AWS Athena, AWS Glue, GitHub Actions, Plotly Dash Enterprise, Python, PosgreSQL, Terraform

    Orga: Confluence, JIRA, Scrum
  • Swiss Life
    Machine Learning Engineer
    BANKING & INSURANCE
    July 2020 - December 2020 (6 months)
    München, Germany
    Machine Learning Document Classification, Dark Data Extraction.

    Automatisierte Klassifikation von 5 Millionen archivierten PDF-Scans und Klassifikation von
    Kundenantworten aus gescannten Formularen mit Machine Learning.

    Phasen: PoC

    Tasks: Data Pipeline Engineering, Pipeline Parallelization, Dynamic Image Processing, Feature Engineering, Model Fitting, Model Testing

    Methoden: Supervised Learning (ANN Perceptrons)

    Stack: Python, Jupyter Lab, MS SQL Server, REST Services, Red Hat Enterprise Linux, GIT, Docker

    Orga: Confluence, JIRA, Scrum
Recommendations
Education
  • Economics, Probabilistic Mathematics, Statistics
    University of Bonn, University of Zurich
    2009
    Computational Statistics, Probability Theory, Stochastic Analysis