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Prof. Dr. Michael SerejenkovPD

Prof. Dr. Michael Serejenkov

Data Scientist and Data Analyst, Project Manager

€950/day
Hannover, DE
8-15 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Prof. Dr. Michael

I am an economic mathematician with several years of professional experience in corporations, management consultancies, and start-up environments. My technical focus areas are Artificial Intelligence, Data Science, and Data Management.
I strive to achieve measurable value through AI-based solutions. In doing so, I focus on managing complex Data Science projects, combining strong business understanding with pronounced implementation skills. I also enjoy supporting my project colleagues with scripts, data modeling, and other data-related topics.

Selected Projects:

Project ‘Data Science for Customer Management’,
Client: A telecommunications company
Roles: Project Manager, Data Scientist
Coordination and development of Data Science applications and associated dashboards for Customer Experience Management, identification of measures to increase customer recommendation rate and their impact.
Technologies: Python, R, Power BI, Dataiku, AWS

Project ‘Data Science Software as a Service in Procurement’
Client: Consultancy/Automotive Manufacturer
Role: Project Manager, Data Scientist
Development of Data Science applications for decision support in procurement, determination of fair purchase prices – as well as achievable savings potentials – in the automotive sector. Technologies: R, Qlik Core, Tableau, AWS

Project: ‘Strategic Implementation of Data Management’
Client: An energy provider
Roles: Project Manager, Data Manager
Development of the strategy for the company-wide implementation of Data Management, including measures for necessary data cleansing, establishment of a unified data model, definition and establishment of new (employee) roles.
Technologies: AWS, On Premises, Power BI, R
  • German

    Native or bilingual

  • Russian

    Native or bilingual

  • English

    Conversational

Can work on-site
Hannover (up to 50km)

Experience

  • Jungheinrich AG
    Data Scientist, Project Manager
    MECHANICAL ENGINEERING
    March 2022 - Today (4 years and 5 months)
    Hannover, Germany
    Coordination and development of Data Driven Fleet Management
    • Recording customer requirements
    • Planning of the sub-project
    • Conception and definition of KPIs
    • Development and implementation of DWH adjustments
    • Conception and development of analytical models and their visualizations using customer dashboards for areas including: Predictive Maintenance, Recommender Systems, Accident Analysis, Cost Optimization, Equipment Failure Analysis, Repair Prediction
    • Development of forecasts and prediction models
    • Derivation of recommendations for action
    Data Science Data Analysis Python R Power BI AWS Amazon Redshift PostgreSQL
  • Oberfinanzdirektion Karlsruhe
    Data Scientist, Project Manager
    PUBLIC SECTOR
    February 2022 - Today (4 years and 6 months)
    Hannover
    • Recording customer requirements
    • Planning of the sub-project
    • Conception and definition of KPIs
    • Setup and further development of the AI development environment
    • Setup of the data basis
    • Conception and development of AI models as well as visualization of results using dashboards for areas including: Fraud Prevention, Cost Optimization.
    • Derivation of recommendations for action
    Data Science Data Analysis R Python SQL Oracle
  • Ein Unternehmen aus Touristik IT
    Project Manager, Data Analyst
    DIGITAL AND IT
    January 2022 - December 2022 (1 year)
    Berlin, Germany
    Coordination and development of Management Cockpit:
    • Conception and definition of company-wide KPIs
    • (Co-)development of the ETL process
    • Development and implementation of DWH adjustments
    • Conception and development of analytical models and their visualizations using management dashboards for areas including: Corporate Steering, Sales Steering, Customer Analysis, Churn Analysis, Collections Analysis
    • Development of forecasts and prediction models
    Power BI Python R SQL Microsoft Azure Data Science Data Analysis

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Education

  • Diploma in Mathematics
    Leibniz University Hannover
    2008
    Studienfach: Mathematik Vertiefung: Stochastische Optimierung Nebenfach: Betriebswirtschaftslehre Abschluss: Dipl.-Mathematiker Diplomarbeit an der Universität Hannover in Zusammenarbeit mit Universität St. Gallen, Schweiz mit dem Titel: „Stochastische Optimierung zur Portfolioallokation unter Regime-Switching“. Das Modell findet in der von institutionellen Anlegern und von den Versicherungs-unternehmen der Schweiz verwendeten Software „DEVA“ praktische Anwendung.
  • Dr.rer.pol (Doctor of Economic and Social Sciences)
    FernUniversität in Hagen
    2015
    Promotion am Lehrstuhl für Betriebswirtschaftslehre, insb. Quantitative Methoden und Wirtschaftsmathematik (früher Operations Research): "Zukunftsgerichtete Effizienzbewertung mittels der Data Envelopment Analysis"

Skill set (47)

Categories