Description

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

Industry field of expertise

Languages

German
Native or bilingual
English
Fluent
Spanish
Basic

Workplace preferences

Can work on-site

Berlin (up to 15km), München (up to 15km)

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 AND 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 AND 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

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Economics, Probabilistic Mathematics, Statistics
University of Bonn, University of Zurich
2009
Computational Statistics, Probability Theory, Stochastic Analysis

Francis L.

Machine Learning, Data Engineering, Data Science

About Francis

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