
Freelancer Data Science, Data Engineering, Full Stack Developer, Machine Learning, DevOps
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
After working for years as full stack developer, I progressed to work as Data Scientist. Nowadays I offer development services in Data Science, Full Stack Development, Data Engineering and DevOps as freelancer.
FernUniversität in Hagen
Informatik
January 1, 2002 – January 1, 2005
Friedrich Schiller University Jena
Vordiplom, Informatik
January 1, 1998 – January 1, 2002
Debeka
Python & Ansible für Private Cloud
February 1, 2026 – Present
Deutsche Bank
Python Entwicklung & DWH
January 1, 2023 – December 1, 2024
Berlin, Germany · Hybrid
Boehringer Ingelheim
Full Stack Developer (Data Engineering)
July 1, 2020 – June 1, 2022
Biberach, Baden-Württemberg, Germany
Utimaco
Django-Entwickler
November 1, 2019 – February 1, 2020
Aachen
Alpaca Technology, Inc.
Senior Data Scientist
February 1, 2019 – May 1, 2019
Berlin
2txt – natural language generation GmbH
Software Developer
August 1, 2018 – January 1, 2019
Berlin
Sabbatical
Deep Learning
November 1, 2017 – July 1, 2018
Berlin
2txt – natural language generation GmbH
Softwareentwickler
January 1, 2016 – October 1, 2017
Berlin Metropolitan Area
index Internet und Mediaforschung
Software-Entwickler
January 1, 2015 – January 1, 2015
Berlin
NetSlave GmbH
Software-Entwickler
January 1, 2013 – January 1, 2014
Berlin
exquisit Technologies
Programmierer
November 1, 2000 – October 1, 2001
Jena
Layout Segmentation OCRD-D
September 1, 2019 – Present
Layout segmentation of digital scanned historic prints to prepare text recognition and scientific further analysis.
End-to-End Machine Learning with TensorFlow on GCP
Coursera
June 24, 2026 – Present
In-Memory Data Management
https://open.hpi.de/
June 24, 2026 – Present
Machine Learning: Clustering & Retrieval
Coursera Course Certificates
June 24, 2026 – Present
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
Coursera
June 24, 2026 – Present
Convolutional Neural Networks
Coursera
June 24, 2026 – Present
Big Data Analytics
Hasso Plattner Institute
June 24, 2026 – Present
How to Win a Data Science Competition: Learn from Top Kagglers (with Honors)
Coursera
June 24, 2026 – Present
Bayesian Methods for Machine Learning
Coursera
June 24, 2026 – Present
Natural Language Processing
Coursera
June 24, 2026 – Present
Architecting with Google Kubernetes Engine: Foundations
Coursera
June 24, 2026 – Present
CKA: Certified Kubernetes Administrator
The Linux Foundation
June 24, 2026 – Present
Big Data Essentials: HDFS, MapReduce and Spark RDD
Coursera
June 24, 2026 – Present
Exploratory Data Analysis
Coursera Course Certificates
June 24, 2026 – Present
Machine Learning: Classification
Coursera Course Certificates
June 24, 2026 – Present
Building Conversational Experiences with Dialogflow
Coursera
June 24, 2026 – Present
Architecting with Google Kubernetes Engine: Production
Coursera
June 24, 2026 – Present
GraphQL Mastery: From Fundamentals to Production Specialization
Board Infinity
June 24, 2026 – Present
Introduction to Enterprise Computing
Coursera
June 24, 2026 – Present
Machine Learning
Coursera Course Certificates
June 24, 2026 – Present
Reproducible Research
Coursera Course Certificates
June 24, 2026 – Present
Machine Learning Foundations: A Case Study Approach
Coursera Course Certificates
June 24, 2026 – Present
Structuring Machine Learning Projects
Coursera
June 24, 2026 – Present
Architecting with Google Kubernetes Engine: Workloads
Coursera
June 24, 2026 – Present
Practical Time Series Analysis
Coursera
June 24, 2026 – Present
Machine Learning: Regression
Coursera Course Certificates
June 24, 2026 – Present
Neural Networks and Deep Learning
Coursera
June 24, 2026 – Present
Architecting with Google Cloud Platform Specialization
Coursera
June 24, 2026 – Present
Production Machine Learning Systems
Coursera
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a diverse background working with various companies (Deutsche Bank, Boehringer Ingelheim, Alpaca Technology) and a mix of full-time and freelance roles. The numerous certifications in advanced topics like Machine Learning, Deep Learning, and Cloud platforms demonstrate a proactive and growth-oriented mindset. The 'Layout Segmentation OCRD-D' project, while lacking technology details, shows an interest in complex data problems. However, the target role 'Data Analyst' might be a slight pivot from the 'Senior Data Scientist' and 'Full Stack Developer (Data Engineering)' roles, requiring a focus on analytical reporting and business insights rather than pure engineering or model building. The breadth of skills (DevOps, Full Stack, Data Science, NLP) suggests a versatile individual who could adapt to different team needs.
Soft Skills & Operational Fit
The candidate's resume indicates a strong focus on technical roles and continuous learning. The project descriptions are brief, making it difficult to assess collaboration or communication styles. The freelance history suggests adaptability and self-management.