Michael (Prof. Dr.) Serejenkov-Prof. Dr. Michael Serejenkov
Check rate
Experience
Data Scientist
CompuGroup Medical Deutschland AG, docmetric GmbH
Development of AI-based and classical models for analyzing medical and patient data, including medication analyses, diagnosis analyses, forecasts, procedure analyses, dosage analyses, comorbidity analyses, prescription analyses, patient potential analyses, and referral profile analyses. Analyses in the area of Real World Evidence.
- Gathering customer requirements
- Planning the subproject
- Designing and defining KPIs
- Designing and developing models and visualizations of the results using customer dashboards
- Developing and implementing DWH adjustments
- Deriving recommendations for action
Methods, technologies: Simulation, Artificial Intelligence, Python, R, SQL, Microsoft Power BI, Amazon Web Services, Elasticsearch, PostgreSQL, Databricks, Multivariate Statistics
Data Scientist
Open Grid Europe GmbH (OGE)
Development of AI-based and classical models for analyzing and modeling the hydrogen market, including looking at the flexibility needed for the short-term startup of power plants, shutdown requirements, and storage optimization.
- Gathering customer requirements
- Planning the subproject
- Designing and defining KPIs
- Designing and developing models and visualizations of the results using customer dashboards
- Developing and implementing DWH adjustments
- Deriving recommendations for action
Methods, technologies: Simulation, Artificial Intelligence, Python, R, SQL, Microsoft Power BI, Amazon Web Services, PostgreSQL, Multivariate Statistics
Data Scientist
Dortmunder Energie- und Wasserversorgung GmbH
Coordination and development of AI-based and classical models for forecasting prices (QPFC, MPFC, PFC) and sales and feed-in volumes for electricity and gas, co-development of models for pricing.
- Gathering customer requirements
- Planning the subproject
- Designing and defining KPIs
- Designing and developing AI models and visualizations of the results using customer dashboards, including for the areas: price forecasting, sales volume forecasting, feed-in volume forecasting, grid load forecasting
- Developing and implementing DWH adjustments
- Deriving recommendations for action
Methods, technologies: Artificial Intelligence, Python, R, SQL, Microsoft Power BI, Amazon Web Services, PostgreSQL, Multivariate Statistics
Data Scientist
Jungheinrich AG
Coordination and development of data-driven fleet management
- Gathering customer requirements
- Planning the subproject
- Designing and defining KPIs
- Developing and implementing DWH adjustments
- Designing and developing analytical models and their visualizations using customer dashboards, including for the areas: predictive maintenance, recommender system, accident analyses, cost optimization, equipment failure analyses, repair forecasting
- Development of forecasts and prediction 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
- Gathering customer requirements
- Planning the subproject
- Designing and defining KPIs
- Building and further developing the AI development environment
- Building the data base
- Designing and developing AI models and visualizations of the results using dashboards, including for the areas: fraud prevention, cost optimization.
- Deriving recommendations for action
Methods, technologies: Python, R, SQL, Oracle, On Premise, Multivariate Statistics, Clustering, Neural Networks
Data Scientist, Data Analyst
GIATA GmbH
Coordination and development of Management Cockpit
- Gathering customer requirements
- Planning the subproject
- Designing and defining company-wide KPIs
- Co-developing the ETL process
- Developing and implementing DWH adjustments
- Designing and developing analytical models and their visualizations using management dashboards, including for the areas of: corporate management, sales management, customer analyses, cancellation analyses, collections analyses
- Developing forecasts and prediction 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
- Gathering customer requirements
- Planning the subproject
- Coordination and development of Data Science applications for Customer Experience Management, including development of data-based models to optimize and predict Net Promoter Score (NPS), identification and analysis of the factors influencing NPS, and derivation of recommendations for action to improve the NPS score and optimize customer loyalty
- Coordination and development of 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 Scientist
Ein Beratungsunternehmen aus Hamburg
Development of data-based models for determining staffing requirements and sales forecasts.
- Gathering customer requirements
- Planning the project
- Developing data-based models for decision support
- Deriving recommendations for action
Methods, technologies: Amazon Web Services, Power BI, R, Python, SQL
Data Analyst, Project Manager
Württembergische Versicherung
Digitalization of the business area "Insurance": planning the subproject for restructuring the analytical data warehouse and adapting it to digital processes.
- Gathering customer requirements
- Analysis of the current project status
- Planning the project
- Designing 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
- Gathering customer requirements
- Planning the project
- Deriving recommendations for action
- Analysis of the current data situation in the company
- Developing the strategy for introducing company-wide data management
Methods, technologies: Agile project management, R, Microsoft Power BI, SQL
Data Scientist, Data Manager
VW
Digitalization of the corporate area "After Sales", digitalization of the warranty process, preparation of the group-wide warranty monitoring, development of analytic use cases.
- Capture of customer requirements
- Planning the introduction of the group-wide warranty monitoring system
- Development of analytic use cases in the area of warranty
Methods, technologies: Scrum, Jira, Tableau, R
Data Scientist, Scrum Master
Deloitte Consulting GmbH
Development of analytical applications for decision support in the purchasing area.
- Capture of customer requirements
- Initial project planning
- Planning and adjustment of the project budget, budget control
- Development of data-based models for decision support
- Derivation of 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
Digitalization of decision-making processes, especially in relation to healthcare.
- Development and implementation of data-based models for market and business analysis.
- Setup of the data science environment
- Project planning
- Statistical data analysis
- Derivation of 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
Reduction of manual intervention in business processes and the related cost reduction with the help of data analysis.
- Project planning
- Technical leadership of the project team
- 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 profit by determining the current as well as future Fair Market Values (FMV) of spare parts. The FMV or its forecast value is determined using suitable mathematical or statistical methods. Some of the methods are implemented as a realtime application.
- 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
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Experienced in Healthcare, Information Technology, Utilities, Energy, Professional Services, and Transportation.
Business Area Experience
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Experienced in Business Intelligence, Information Technology, Project Management, Research and Development, Strategy, and Product Development.
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 · Hagen, Germany
Leibniz University Hannover
Diploma in Mathematics · 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
Profile
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