Christian Schulz - Data-Scientist/AI Engineer

Recommended expert

Ismaning, Germany

Experience

Aug 2025 - Nov 2025

4 months

Munich, Germany

Data-Scientist/AI Engineer

The Marcom Engine GmbH & Co. KG

Concept creation and implementing AI Agents in AWS Cloud
Continuously alignment with stakeholders
Collaborate with DevOps
Technologies: Git, CI/CD (GitHub Actions), Python/ML, Streamlit, Deno/typescript, AWS SAM, AWS Bedrock, AWS Lambda, AWS Dynamo DB, AWS S3, AWS Event Bridge etc.

Jan 2025 - Present

1 year 1 month

Ismaning, Germany

Data Scientist/AI Engineer

targeting.ai

Creating ideas and applications with LLM/ML features.
Architecting and implementing a robust framework for rapid and scalable deployment of Large Language Models within Kubernetes environments.
Leveraging a broad spectrum of technologies in product development and deployment.
Technologies: Git, CI/CD (GitLab pipelines / GitHub Actions), PySpark, Databricks, Pandas, Python, SQL, PostgreSQL, Terraform, Airflow, Jupyter, K8s, GCP, Langchain, Langgraph, Streamlit, Huggingface, Agno, FastAPI, Deno, Claude, OpenAI, Cursor, RooCode, UXPilot, CodeGuide etc.

Nov 2023 - Dec 2023

2 months

Cologne, Germany

Data-Engineering Expert

Sysfacts AG

POC - Migration MicroService into Kubernetes on GCP
Creating different manifests for the Kubernetes Cluster
Performance tests on the Kubernetes Cluster
Consulting
Technologies: Git, CI/CD (Gitlab pipelines), Google Cloud, Docker, Kubernetes, PostgreSQL, ElasticSearch

Jul 2023 - May 2024

11 months

Leipzig, Germany

Data-Engineering Expert

Senec GmbH

Data source integration (e.g. Business-Central, CRM, and different external API’s)
Medallion Architecture
Providing data for PowerBI and Data Analysts
Python Development
Big data workflow optimizations with PySpark/Databricks
DBT Modelling
End2End data solution
Technologies: Git, PySpark, Pandas, Python, SQL, Azure/Databricks, ElasticSearch, DBT, Terraform, Airflow, Jupyter, Delta Tables, Airbyte, Power BI, CI/CD (Gitlab pipelines), K8s

Jan 2023 - Jun 2023

6 months

Freiburg im Breisgau, Germany

Data-Science Expert

Virtualminds GmbH (includes Adex GmbH)

Technologies: Git, CI/CD (Gitlab pipelines), PySpark, Pandas, Scikit-learn, Python, SQL, H2o, Docker, FastAPI, TensorFlow, Databricks, PostgreSQL, MongoDB, Terraform, AWS.

Oct 2022 - Dec 2022

3 months

Berlin, Germany

Data-Science Expert

Mercedes-Benz.io GmbH

Idea generator for the internal data science team.
Customer-Journey exploration with markov models and predictive analytics.
Conceptualization and implementation: Feature store.
Classification models (leads, clicks)
FeatureEngineering, ConfusionMatrix, LiftCharts
Technologies: Jira, Confluence, Git, Azure, Databricks, PySpark, Pandas, SQL, Scikit-learn, Seaborn, Matplotlib

Feb 2022 - Dec 2022

11 months

Munich, Germany

Data-Science Expert

MSD Sharp & Dohme GmbH

Mentoring.
End2End data solution
Developing new customer engagement KPIs.
Handling complex data structures with SQL
Next Best Engagement and marketing cloud automation (E2E).
Content recommendation with collaborative filtering.
Impact equivalent optimization with genetic algorithm.
Technologies: Linux, CI/CD (Gitlab pipelines), Git, Jira, Confluence, AWS, Terraform, Mlflow, SQL, Python Jupyter, PySpark, Pandas, Scikit-learn, Seaborn, Matplotlib, Lightfm.

Apr 2021 - Jan 2022

10 months

Freiburg im Breisgau, Germany

Data-Science Expert

Virtualminds GmbH

Idea provider (Mentoring) for data science problems in the internal data science team.
Forecast media inventory with a complex set of requirements and conditions (Regression).
Develop Airflow pipelines.
Handling complex data structures with SQL.
Apply probabilistic data structure algorithms.
Usage of fbprophet (time-series analysis) to estimate seasonality effects.
Aggregation (ETL) of significant data volumes.
Evaluation Databricks.
POC in Video transcription.
Technologies: Linux, Git, CI/CD (Gitlab pipelines), Jira, Confluence, SQL, AWS, GCP, Kubernetes, Spark, Jupyter on Kubernetes, Python, Jupyter, PySpark, Pandas, Scikit-Learn, Tensorflow, Numpy, Matplotlib, Seaborn, Plotly, Mlflow, Databricks, and Airflow.

Dec 2020 - Jan 2021

2 months

Berlin, Germany

Data-Science Expert

The Adex GmbH

Extend a predictive behavioral targeting system with multi-client capabilities.
Classification models in a predictive behavioral context
FeatureEngineering, ConfusionMatrix, LiftCharts
Technologies: Linux, Git, Python, PySpark, Pandas, Scikit- Learn, Numpy, Tensorflow/Keras, H2O.ai and MongoDB.

Oct 2020 - Nov 2020

2 months

Munich, Germany

Data-Science Expert

Mediascale GmbH & Co. KG

Conceptual design and develop a special data exporter for a third-party service provider.
Technologies: Git, AWS S3, Python, Spark, and PostgreSQL.

Apr 2020 - Apr 2021

1 year 1 month

Munich, Germany

Data-Science Expert

MSD Sharp & Dohme GmbH

Conceptual design and develop a machine learning application (predictive analytics) to improve sales distribution in a competitive pharma market.
Handling complex data structures with SQL.
Make complex pharma data structures ready for machine learning issues.
Apply machine learning algorithms, handle smart data, and consult in applied statistics/data science.
Generate statistical analysis and charts with Jupyter Lab notebooks.
Classification models in a pharma context
FeatureEngineering, ConfusionMatrix, LiftCharts
Technologies: Git, Jira, Confluence, Jupyter, SQL, Veeva (CRM), AWS Redshift, Kedro, Mlflow, Python, Jupyter, Pandas, Scikit-Learn, Numpy, Matplotlib, Seaborn, and Plotly.

Jan 2020 - Mar 2020

3 months

Munich, Germany

Backend-Developer

Appex5 GmbH

Conception and development of a scalable Media-API for video and audio (e.g. YouTube).
Technologies: Linux, Docker, python, ffmpeg, fastapi, AWS EC2, AWS Fargate, and YoutubeAPI V3.

Nov 2019 - Feb 2020

4 months

Berlin, Germany

Data-Science Expert

The Adex GmbH

Conceptual design and develop a machine learning application to predict online marketing segments in terms of online surf behavior.
Apply machine learning algorithms, handle big data, consulting in applied data-science specifics.
Aggregation (ETL) of big data volumes to predict large-scale customer segments to monetize data (DMP/DSP).
Maintaining and monitoring since 02/2020.
Technologies: Linux, Git, Jupyter, fastapi, Docker, Apache Spark, Python PySpark, Pandas, Scikit- Learn, NumPy, TensorFlow/Keras, MongoDB, PostgreSQL, H2O.ai, TensorFlow, PyTorch, and Tableau.

Jan 2019 - Present

7 years 1 month

Data-Science Expert

Pro7/Virtual Minds GmbH

ETL
Reporting
Predictive Modeling (Classification, Regression etc.)
Classification models in predictive behavioral context
Feature Engineering, Confusion Matrix, Lift Charts
API Development
Dockerizing and improving different Machine Learning and Reporting Services with PostgreSQL & MongoDB
End2End data solution
Maintenance
Technologies: Git, PySpark, CI/CD (GitLab pipelines / GitHub actions), Databricks, Pandas, Python, SQL, PostgreSQL, Terraform, Airflow, Jupyter, K8s, GCP, Streamlit, Huggingface, FastAPI

Jan 2019 - May 2020

1 year 5 months

Munich, Germany

Data-Science and AWS Expert

Wetter.com GmbH

Conceptual design, ETL and develop a machine learning application with a focus on weather effects in terms of sales forecasts.
Evaluation of AWS SageMaker in terms of scalability
Generating large-scale machine learning models and predictions with AWS.
End2End data solution.
Regression models in retail context
Feature Engineering, Model Evaluation
Technologies: Linux, Git, CI/CD (GitLab pipelines), Jupyter, Docker, Python, Scikit-learn, Pandas, TensorFlow, PyTorch, AWS Lambda, AWS Glue, AWS S3, AWS Athena, AWS SageMaker, AWS Dynamo DB, AWS Document DB, AWS SQS, Serverless.com, and Tableau.

May 2018 - Dec 2018

8 months

Munich, Germany

Data-Science Expert

Mediascale GmbH & Co. KG

Conceptual design and develop a machine learning application to predict online marketing segments in terms of online surf behavior.
Classification models in predictive behavioral context
FeatureEngineering, ConfusionMatrix, LiftCharts
Apply machine learning algorithms, handle big data, consulting in applied data-science specifics.
Aggregation (ETL) of big data volumes to predict large-scale customer segments to monetize data (DMP/DSP).
Operations and monitoring since 12/2018.
Technologies: Linux, Git, Jupyter, Docker, Apache Spark, Python, Pandas, Scikit- Learn, Numpy, Tensorflow/Keras, and H2O.ai.

Jan 2017 - Jul 2017

7 months

Freiburg im Breisgau, Germany

Data Expert

Virtualminds GmbH

Building an ETL app to handle big data and generate reports.
Operations and monitoring since 07/2017.
Technologies: Linux, Git, Jupyter, PostgreSQL, Python, and AWS.

Feb 2016 - Dec 2018

2 years 11 months

Munich, Germany

Head of Data Science

DataXtrade GmbH

Mentoring
Analyzing data and predictive modeling with machine learning algorithms and handling big data.
Working with DSP Technologies (Adform, The Trade Desk, Google DMP, Google DDP).
Monitoring of data-driven processes.
Collaboration and coordination with managing partners, software developers, and team members.
Consulting clients and data partners in terms of marketing, data-driven, and analytical processes.
Leading team members.
Classification models in predictive behavioral context
FeatureEngineering, ConfusionMatrix, LiftCharts
Technologies: MS Office, Linux, Git, Jupyter, Docker, Django, PostgreSQL, R, Apache Spark, Python, PySpark, Pandas, Scikit-Learn, Numpy, Tensorflow/Keras and MongoDB.

Jun 2015 - Feb 2016

9 months

Unterföhring, Germany

Senior Data Scientist

ProSiebenSat.1 Digital & Adjacent GmbH

TV campaign optimization, media attribution, segmentation, and impact modeling.
Collaboration and coordination with different stakeholders and partners.
Handling big data.
Technologies: MS Office, Linux, PostgreSQL, Spark, R, Python, MongoDB, and Hadoop/Hive.

Apr 2013 - May 2015

2 years 2 months

Munich, Germany

Head of Data Science

Smartstream.TV GmbH

Development of a predictive behavioral targeting and analytical reporting backend with predictive analytics.
Campaign optimizing.
KPI development.
Log file analytics and handling big data.
Evaluation of external vendors (data and software products).
Monitoring of data-driven processes.
Collaboration and coordination with members from software development and ad management.
Lead software developers for data-driven issues.
Classification models in predictive behavioral context
FeatureEngineering, ConfusionMatrix, LiftCharts
Technologies: MS Office, MySQL, R, Python, Git, Django, Weka, Redis, MongoDB, and Linux.

Jun 2012 - Jun 2012

1 month

Zürich, Switzerland

Data Scientist

Anovum GmbH

Consulting in churn- and predictive analytics.
Technologies: MS Office, MySQL, R, Python, Weka, MongoDB, and Linux.

Mar 2012 - Mar 2013

1 year 1 month

Düsseldorf, Germany

Data Scientist

GroupM Germany GmbH

Development, analytics, and consulting with a focus on predictive behavioral targeting and predictive analytics.
Technologies: MS Office, MySQL, R, Python, Weka, MongoDB, and Linux.

Feb 2012 - Dec 2012

11 months

Munich, Germany

Data Scientist

Movad GmbH

Conceptual design Development of a fingerprint tracking system.
KPI development.
Consulting in predictive analytics.
Handling big data.
Technologies: MS Office, MySQL, R, Django, Python, Redis, MongoDB, and Linux.

Sep 2011 - Jan 2012

5 months

Sydney, Australia

Data Science Consultant

Datalicious Pty Ltd

Media Attribution

Sep 2011 - Jan 2012

5 months

Sydney, Australia

Language Courses

Stay Abroad

Oct 2008 - Sep 2011

3 years

Karlsruhe, Germany

Chief Statistics

Eyewonder LLC

Conceptual design and development of a predictive behavioral targeting system with predictive analytics.
Campaign optimizing.
KPI development.
Monitoring of data-driven processes.
Log file analytics and handling big data.
Development of an internal analytical reporting application.
Collaboration and coordination with members from software development and ad management.
Leading up to 5 team members.
Technologies: R, Weka, SPSS, Python, Bash, SQL, and Django/Highcharts.

Jun 2008 - Jul 2008

2 months

Zürich, Switzerland

Data Scientist

Anovum GmbH

Segmentation analytics.
Technologies: SPSS and R.

Jan 2007 - Feb 2007

2 months

Brühl, Germany

Conjoint Expert

Spiegel Institut Mannheim GmbH

Training and consulting in conjoint methods.
Technologies: Sawtooth.

Sep 2006 - Dec 2006

4 months

Erlangen, Germany

Conjoint Expert

Siemens Medizintechnik

Development of an adaptive conjoint design and study execution.
Server hosting.
Analytics (market simulation) and result aggregation.
Technologies: Office, Apache, and Sawtooth.

May 2006 - Sep 2008

2 years 5 months

Karlsruhe, Germany

Data Science Professional

United Internet AG

Conceptual design and development of a predictive behavioral targeting system with predictive analytics.
Processing and handling big data (ETL).
Evaluation of data mining software.
Preparation of the analytical results and presentation to internal clients.
Collaboration and coordination with members from software development and ad management.
Leading up to 4 team members.
Technologies: R, SPSS, Insightful-Miner, Weka, Python, Linux, and Oracle.

Jul 2005 - Sep 2005

3 months

Gütersloh, Germany

Conjoint Expert

Miele & Cie. KG

Conjoint analytics with cost optimization and server hosting (conjoint survey).
Technologies: MS Office, Apache, and Sawtooth.

Jun 2005 - Dec 2005

7 months

Hamburg, Germany

Data Scientist

Euler-Hermes Kreditversicherungs AG

Analytics, training, and consulting in predictive churn prevention.
Technologies: Oracle and R.

Apr 2005 - Jun 2005

3 months

Brussels, Belgium

Data Scientist

Dexia Banque

Database marketing with predictive analytics and online surveys.
Technologies: MS Office, SPSS, and Weka.

Jul 2004 - Sep 2004

3 months

Zürich, Switzerland

Conjoint Expert

TDC-Switzerland AG Sunrise

Conjoint analytics and segmentation.
Technologies: MS Office, R, and Sawtooth.

Jan 2004 - Dec 2004

1 year

Cologne, Germany

Conjoint Expert

Globalpark GmbH

Consulting in conjoint analytics.
Technologies: Sawtooth.

Sep 2003 - Jun 2010

6 years 10 months

Berlin, Germany

Data Scientist

Questico AG

ETL processing for data science objectives.
Applying machine learning algorithms for activation, churn prevention, and re-activation for cost-optimization issues in direct marketing.
Monitoring proactive direct marketing strategies.
Collaboration and coordination with members of software development.
Technologies: Oracle, SPSS, and R.

Aug 2003 - Dec 2003

5 months

Berlin, Germany

Market Research Expert

Forsa GmbH

Evaluation of online survey software products.

Sep 2002 - Jul 2003

11 months

Berlin, Germany

Statistical Consultant

Freelance Business

Handling first statistical consulting projects
Technologies: MySQL, Oracle, SPSS and R.

Sep 2001 - Aug 2002

1 year

Berlin, Germany

Statistician

Metrinomics GmbH (spin-off Modalis Inc.)

Statistical analytics in market research (Conjoint, Customer-Satisfaction and Image surveys, etc.).
Technologies: SPSS, Sawtooth, R, Excel-VBA, and MS Office.

Sep 2000 - Aug 2001

1 year

Berlin, Germany

Manager-Statistics

Modalis Inc.

Statistical analytics in market research (Conjoint, Customer-Satisfaction and Image surveys, etc.).
Technologies: SPSS, R, Sawtooth, Excel-VBA, and MS Office.

Jan 1999 - Aug 2000

1 year 8 months

Darmstadt, Germany

Junior Statistician

Consilium & Co. GmbH.

Statistical analytics in market research.
Technologies: SPSS, R, and MS Office.

Apr 1996 - Jan 1999

2 years 10 months

Darmstadt, Germany

Student Assistant

TU Darmstadt

Statistical analysis.
Technologies: SPSS, MS Office.

Sep 1995 - Feb 1996

6 months

Jülich, Germany

Student Assistant

Research Center Jülich

Statistical analysis and online research.
Technologies: SPSS, MS Office.

Summary

As a data professional with over 20 years of experience, I have a passion for leveraging statistical methods and data analysis to create value. I have worked in various sectors, designing, developing, and supporting systems for predictive behavioral targeting. My expertise spans the entire data-driven application chain, from handling raw data to building cloud architecture, programming databases with SQL, developing applications, conducting predictive analytics, and creating dashboards.

Furthermore, I’m working on concepts and strategies to deploy Large Language Model solutions fast and easy (i.e. Kubernetes, AWS Bedrock, etc.).

Skills

Os: Linux And Windows.
Data Science: Spss, R + Rstudio, Weka, Apache Spark, Python Tensorflow, Pytorch, Keras, Fast.ai, H2o.ai, And Databricks.
Database: Oracle, Ms-sql Server, Mysql, And Postgresql.
Nosql: Redis, Mongodb, And Hadoop/hive.
Online-survey/conjoint: Sawtooth.
Programming: Zmq, Bash, Sql, Pl/sql, R, Python, And Scala (Basics).
Cloud: Aws, Google Cloud Computing, Azure, And Serverless.
Others: Office, Tableau, Google Ads, Plotly, Nginx, Django, Flask, Vagrant, Docker, Kedro, Apache Airflow, And Git, Dbt, K8s.
Genai: Langchain, Langgraph, Pydanticai