Michael S.-Data Scientist
Check rate
Experience
Data Analyst, Data Scientist
CompuGroup Medical Deutschland AG, docmetric GmbH
Development of AI and traditional models to analyze medical and patient data, including medication analyses, diagnosis analyses, forecasts, procedure analyses, dosage analyses, comorbidity analyses, prescription analyses, patient potential analyses, referral profile analyses, and prescription analyses. Analyses in the field of Real World Evidence.
Healthcare IT, pharmaceutical industry
Tasks, responsibilities:
- Gathering customer requirements
- Planning the subproject
- Designing and defining KPIs
- Designing and developing models and visualizations of results using customer dashboards
- Developing and implementing data warehouse adaptations
- Deriving recommendations for action
Methods, technologies:
- Simulation
- Artificial intelligence
- Python
- R
- SQL
- Microsoft Power BI
- Amazon Web Services
- Elasticsearch
- PostgreSQL
- Databricks
- Multivariate statistics
Data Analyst, Data Scientist
Open Grid Europe GmbH (OGE)
Development of AI and traditional models to analyze and model the hydrogen market, including an assessment of the flexibility needed for the short-term start-up of power plants, shutdown requirements, and storage optimization.
Energy supply
Tasks, responsibilities:
- Gathering customer requirements
- Planning the subproject
- Designing and defining KPIs
- Designing and developing models and visualizations of results using customer dashboards
- Developing and implementing data warehouse adaptations
- Deriving recommendations for action
Methods, technologies:
- Simulation
- Artificial intelligence
- Python
- R
- SQL
- Microsoft Power BI
- Amazon Web Services
- PostgreSQL
- Multivariate statistics
Data Analyst, Data Scientist
Dortmunder Energie- und Wasserversorgung GmbH
Coordination and development of AI and traditional models to forecast prices (QPFC, MPFC, PFC), sales and feed-in volumes for electricity and gas, and co-development of pricing models.
Energy supply
Tasks, responsibilities:
- Gathering customer requirements
- Planning the subproject
- Designing and defining KPIs
- Designing and developing AI models and visualizations of results using customer dashboards, including for the areas of price forecasting, sales volume forecasting, feed-in volume forecasting, and grid load forecasting
- Developing and implementing data warehouse adaptations
- Deriving recommendations for action
Methods, technologies:
- Artificial intelligence
- Python
- R
- SQL
- Microsoft Power BI
- Amazon Web Services
- PostgreSQL
- Multivariate statistics
Data Analyst, Data Scientist
Jungheinrich AG
Coordination and development of data-driven fleet management
Mechanical engineering, intralogistics
Tasks, responsibilities:
- Gathering customer requirements
- Planning the subproject
- Designing and defining KPIs
- Developing and implementing data warehouse adaptations
- Designing and developing analytical models and visualizations using customer dashboards, including for the areas of predictive maintenance, recommender systems, accident analyses, cost optimization, equipment failure analyses, and repair forecasting
- Developing forecasts and forecasting models
- Deriving recommendations for action
Methods, technologies:
- Python
- R
- SQL
- Microsoft Power BI
- Amazon Web Services
- Amazon Redshift
- PostgreSQL
- Multivariate statistics
- Clustering
- Predictive analytics
Data Scientist
Oberfinanzdirektion Karlsruhe
Combating financial crime using artificial intelligence
Public service / financial administration
Tasks, responsibilities:
- Gathering customer requirements
- Planning the subproject
- Designing and defining KPIs
- Building and further developing the AI development environment
- Building the data foundation
- Designing and developing AI models and visualizations of results using dashboards, including for the areas of fraud prevention and cost optimization
- Deriving recommendations for action
Methods, technologies:
- Python
- R
- SQL
- Oracle
- On-premises
- Multivariate statistics
- Clustering
- Neural networks
Data Scientist, Data Analyst
GIATA GmbH
Coordination and development of a Management Cockpit
Tourism, IT
Tasks, responsibilities:
- Gathering customer requirements
- Planning the subproject
- Designing and defining company-wide KPIs
- (Co-)developing the ETL process
- Developing and implementing DWH changes
- Designing and developing analytical models and visualizations using management dashboards, including for the following areas: corporate management, sales management, customer analytics, churn analysis, collections analysis
- Developing forecasts and predictive models
- Deriving recommendations for action
Methods, technologies:
- Microsoft Power BI
- Python
- R
- SQL
- Azure
- Azure Data Factory
- Azure SQL database
- Azure Machine Learning
- Multivariate statistics
- Clustering
- Predictive analytics
Data Scientist
Telefónica Germany GmbH & Co. OHG
Coordination and development of Data Science applications for Customer Experience Management
Telecommunications
Tasks, responsibilities:
- Gathering customer requirements
- Planning the subproject
- Coordinating and developing Data Science applications for Customer Experience Management, including:
- Developing data-based models to optimize and predict Net Promoter Score (NPS)
- Identifying and analyzing the factors that influence NPS
- Deriving recommendations for action to improve the NPS score and optimize customer retention
- Coordinating and developing related dashboards and visualizations
Methods, technologies:
- Python
- R
- SQL
- Dataiku
- Power BI
- Tableau
- Amazon Web Services
- Oracle
- Amazon Redshift
- Multivariate statistics
- Clustering
- Regression analysis
- Neural networks
Data Analyst, Data Scientist
A consulting company from Hamburg
Developed data-based models for workforce requirements and sales forecasts.
Consulting
Tasks, responsibilities:
- Gathering customer requirements
- Planning the project
- Developing data-based models to support decision-making
- Deriving recommendations for action
Methods, technologies:
- Amazon Web Services
- Power BI
- R
- Python
- SQL
Data Analyst, Project Manager
Württembergische Versicherung
Digitalization of the “Insurance” business area: planning the subproject to restructure the operational Data Warehouse and adapt it to digital processes.
Insurance
Tasks, responsibilities:
- Gathering customer requirements
- Analyzing the current project status
- Planning the project
- Developing and introducing bitemporal data historization
Methods, technologies:
- Jira
- SAS
- SAP BW
- Hadoop
- IBM DB2
Data Manager, Project manager
Westfalen Weser Energie
Strategic introduction of company-wide data management
Energy supply
Tasks, responsibilities:
- Gathering customer requirements
- Planning the project
- Deriving recommendations for action
- Analyzing the current state of data across the company
- Developing a strategy for introducing company-wide data management
Methods, technologies:
- Agile project management
- R
- Microsoft Power BI
- SQL
Data Scientist, Data Manager
VW
Digitization of the Group’s “After Sales” division, digitization of the warranty process, preparation of Group-wide warranty monitoring, development of analytics use cases.
Automotive industry/After Sales
Tasks, responsibilities:
- Gathering customer requirements
- Planning the implementation of the Group-wide warranty monitoring system
- Developing analytics use cases in the warranty area
Methods, technologies:
- Scrum
- Jira
- Tableau
- R
Data Scientist, Scrum Master
Deloitte Consulting GmbH, Ein Automobilhersteller aus dem süddeutschen Raum
Development of analytical applications to support decision-making in procurement.
Consulting, automotive industry/procurement
Tasks, responsibilities:
- Gathering customer requirements
- Initial project planning
- Planning and adjusting the project budget, budget monitoring
- Developing data-based models to support decision-making
- Deriving recommendations for action
Methods, technologies:
- Amazon Web Services
- Scrum
- Jira
- R
- Qlik Core
- Tableau
- Microservices
- Javascript
- Multivariate statistics
- Multidimensional optimization
- Clustering
- Regression analysis
Data Scientist
Mediqon medical columbus GmbH
Digitization of decision-making processes, especially in healthcare.
Healthcare
Tasks, responsibilities:
- Developing and implementing data-based models for market and business analysis
- Setting up the data science environment
- Project planning
- Statistical data analysis
- Deriving recommendations for action
Methods, technologies:
- Amazon Web Services
- R
- Python
- Microsoft SQL Server
- Alteryx
- Tableau
- Tableau Server
- QGIS
- ArcGIS
- Multivariate statistics
- Multidimensional optimization
- Clustering
- Regression analysis
- Simulation
Data Scientist, Project Management
Schenker Deutschland GmbH, Lufthansa Industry Solution AS GmbH
Reducing manual intervention in business processes and the associated costs through data analysis.
Logistics
Tasks, responsibilities:
- Project planning
- Technical leadership of project team members
- Model development
- Statistical data analysis
- Presentation of results
Methods, technologies:
- R
- Python
- Oracle
- RapidMiner
- Tableau
- Clustering
- Regression analysis
Data Scientist
Lufthansa Technik
Further development of an application to increase profits by determining the current and future fair market values (FMV) of spare parts. The FMV and its forecast value are determined using suitable mathematical and statistical methods. Some of the methods are implemented as a real-time application.
Aircraft maintenance
Tasks, responsibilities:
- Further development of the application
- Model development
- Statistical data analysis
- Recommendations for action
- Documentation
Methods, technologies:
- R
- Shiny-Server
- Multivariate statistics
- Clustering
- Regression analysis
Industry experience
See where this freelancer has spent most of their professional time.
Experienced in Healthcare, Information Technology, Pharmaceutical, Utilities, Energy, and Transportation.
Business area experience
See which departments and functions this freelancer has contributed to most.
Experienced in Business Intelligence, Project Management, Information Technology, Marketing, and Product Development.
Summary
I develop data-driven models and analytical applications that support better business decisions across healthcare, pharmaceuticals, energy, telecommunications, insurance, automotive, logistics, tourism and public administration. I work with AI, forecasting, simulation, multivariate statistics, clustering, regression analysis and neural networks.
I use Python, R, SQL, Power BI, Tableau and cloud platforms including AWS and Azure. I also design KPIs, dashboards, data warehouse adaptations and data foundations, translating customer requirements into practical recommendations. My background combines mathematics, business administration and quantitative methods.
Skills
Data Science
Machine Learning
Business Intelligence
Predictive Analytics
Modeling And Data Analysis Of Complex Systems
Data Mining
Exploratory Data Analysis
Project Management
Optimization Methods
Risk Analysis
Simulation Methods
Operating Systems: Ms Windows, Linux (Suse, Debian)
Scripting Languages: Python, R, Sql
Database Systems: Microsoft Sql Server, Mysql, Cognos Tm1, Oracle
Applications/Frameworks: Alteryx, Tableau, Microsoft Power Bi, Spss, Matlab, Rapidminer, Lindo/Lingo, Maple, Qgis, Arcgis, Shiny-Server, Ms Excel, Ms-Office-Solver, Deva (Portfolio Optimization)
Languages
Education
Fernuniversität in Hagen
Dr.rer.pol. · Business Administration, with a focus on Quantitative Methods and Business Mathematics · Hagen, Germany
Leibniz Universität Hannover
Diplom-Mathematiker · Mathematics with a minor in Business Administration · Hanover, Germany
Certifications & licenses
Rapid Miner (1+2)
Requirements Management and Process Analysis
TM1 Training for Developers
Statistics
Experience
Global experience
Expertise
Qualifications
Frequently asked questions
Have questions? Find more information here.
Michael is based in Hanover, Germany and can operate in on-site, hybrid, and remote work models.
Michael speaks the following languages: German (Native), Russian (Native), English (Intermediate), Italian (Elementary).
Michael has at least 10 years of experience. During this time, Michael has worked in at least 8 different roles and for 15 different companies. The average length of individual experience is 1 year and 8 months. Note that Michael may not have shared all experience and actually has more experience.
Based on recent experience, Michael would be well-suited for roles such as: Data Analyst, Data Scientist, Data Scientist, Data Scientist, Data Analyst.
Michael's most recent position is Data Analyst, Data Scientist at CompuGroup Medical Deutschland AG, docmetric GmbH.
In recent years, Michael has worked for CompuGroup Medical Deutschland AG, docmetric GmbH, Open Grid Europe GmbH (OGE), Dortmunder Energie- und Wasserversorgung GmbH, Jungheinrich AG, and Oberfinanzdirektion Karlsruhe.
Michael is most experienced in industries like Healthcare, Information Technology, and Utilities. Michael also has some experience in Pharmaceutical, Energy, and Transportation.
Michael is most experienced in business areas like Business Intelligence, Project Management, and Information Technology. Michael also has some experience in Marketing and Product Development.
Michael has recently worked in industries like Information Technology, Healthcare, and Pharmaceutical.
Michael has recently worked in business areas like Business Intelligence, Project Management, and Information Technology.
Michael holds a Doctorate in Business Administration, with a focus on Quantitative Methods and Business Mathematics from Fernuniversität in Hagen and a Master in Mathematics with a minor in Business Administration from Leibniz Universität Hannover.
Michael has 3 certificates. These include: Rapid Miner (1+2), Requirements Management and Process Analysis, and TM1 Training for Developers.
Michael is immediately available full-time for suitable projects.
Daily rate distribution
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Average rates for similar positions
Rates are based on recent contracts and do not include FRATCH margin.
The average daily rate is the mean of all daily rates from recent contracts of comparable freelancers on our platform.
The median daily rate is the middle value of all daily rates — half of comparable freelancers charge less, half charge more. Unlike the average, it is barely affected by outliers.
Calculated based on our freelancers’ daily rates as of 29 Oct 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
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