Michał Behr

Angestellt, Data Scientist, Helvetia Versicherungen Schweiz

Schweiz, Basel, Schweiz

Über mich

Ich scheue mich vor keiner Komplexität, ich mache nur einmal was manuell, ich arbeite gerne zusammen und bin offen für neues.

Fähigkeiten und Kenntnisse

SQL
Python
Kafka
Matrix/Vector-oriented Programming
Object-oriented Programming
Complex SQL queries on DB2
Set/DB-oriented Programming
Data Science
API
Algorithm Development
Maschinelles Lernen
Git
Docker
VBA
AWS
Automation
Predictive Analysis
SQL-based data transformation
Java
Graph Datenbanken (neo4j)
Algorithms with strong mathematical background
TeX / LaTeX / Automated Document Generation
SAP BI ABAP Development & Data Modelling
SAS Stored Prozess DI-Studio SAS EG
Data Warehouse
Blockchain
Smart Contracts
ABAP Objects
Microsoft Azure
Cloud Computing
SAP BW
Dependency visualization using directed graphs (in
Regular Expression based text parsers (Java)
Complex queries on time dependent base data
GraphStream library know-how (Java)
long Experience in Decision Support Tools for Plan
Dynamics & Simulation (Matlab/Simulink)
Neural Networks (Theory and Practice / 12 Publicat
Matlab
Scilab
Octave
AWK
Controlling and Investment
Unix Shell Scripting
Computer Algebra Systems
LISP

Werdegang

Berufserfahrung von Michał Behr

  • Bis heute 3 Jahre und 5 Monate, seit Jan. 2021

    Data Scientist

    Helvetia Versicherungen Schweiz
  • 6 Jahre und 4 Monate, Sep. 2014 - Dez. 2020

    BI & Data Warehouse Spezialist

    Helvetia Schweiz

    Entwickler im SAS

  • 7 Jahre und 1 Monat, Aug. 2007 - Aug. 2014

    BI Entwickler

    Coop, Schweiz

    SAP BI-based applications for Forecasting, Planing and Core Business Management, Predictive Analysis Tools.

  • 7 Jahre und 8 Monate, Aug. 1999 - März 2007

    Strategic Controlling Senior Specialist

    Vattenfall Distribution Poland

    BI, Analyses, Tools and Simulations for Enterprise Strategic Controlling, Energy Demand Forecasting and dedicated Analyses, IT Tools for Planning & Controlling

  • 10 Jahre und 3 Monate, Mai 1989 - Juli 1999

    Others (engineering & service)

    Other Jobs: Upper Silesian Power Distribution Company Gliwice and Others, Poland

    Independent Operation Planning Specialist, Power Grid Topology Specialist, Middle and Low Voltage Project Manager, Warehouse Manager and Warehouseman, Service of Computer Controlled Machine Tools, Substitute Military Service in Surgical Operating Block

Ausbildung von Michał Behr

  • 10 Monate, Sep. 2002 - Juni 2003

    Financial Management of Enterprise

    Economic Academy in Katowice, Poland

  • 7 Jahre und 3 Monate, Aug. 1998 - Okt. 2005

    Theoretical Electrotechnics, Matlab, Simulink

    Silesian Technical University in Gliwice, Poland

    Close scientific cooperation with Institute for Theoretical Electrotechnics of Silesian Technical University. Subjects: neural network applications in electrotechnics and signals theory, dynamical modelling and simulation of enterprise, 13 Publications.

  • 1 Jahr und 10 Monate, Okt. 1996 - Juli 1998

    Theoretical Electrotechnics

    Silesian Technical University in Gliwice, Poland

    Neural Networks in Signals Theory, Electrical Power in Nonlinear Systems, Dynamics of Electrical Motors

  • 1 Jahr und 7 Monate, Apr. 1996 - Okt. 1997

    Faculty of Organization and Management

    Silesian Technical University in Gliwice, Poland

    Energy Enterprise Management

  • 4 Jahre und 8 Monate, Feb. 1991 - Sep. 1995

    Faculty of Electical Engineering

    Silesian Technical University in Gliwice, Poland

    Electical Power Grid, Electrotechnics, Electrical Power Plants.

Sprachen

  • Deutsch

    Fließend

  • Polnisch

    Muttersprache

  • Englisch

    Gut

  • Russisch

    Fließend

Interessen

Komponieren eigener Tracks: https://soundcloud.com/michu-pichu
Dynamics Phenomena in Simulation of Economical Subsystems
Tensors and riemannian geometry in geneal relativity theory
Space / Time and Gravitation
Time Series Prediction
Fractals and Deterministic Chaos
Learning Systems and Neural Networks
Optimization and lagrange formalism
Classical Music / Choral Music / Jazz
Audiophile Stereo Systems
Computer based Music Production Systems (Cubase)
Virtual Instruments
Computer based composing of little musical forms
Mathematical aspects of Music (wavews / scales / spectral analysis / sound generation etc.)
New Technology Trends
Statistics

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