
Peter Szabados
Fähigkeiten und Kenntnisse
Werdegang
Berufserfahrung von Peter Szabados
- Current 7 years, since Jul 2019
Senior Big Data Scientist
T-Systems International GmbH
Automotive Industry
Several projects in the automotive industry: - predictive maintenance - connected car - signal processing - sales / after-sales predictions Tools/technologies: - Python, scikit-learn, numpy, pandas, matplotlib, Keras - Hortonworks Hadoop, HDFS, Hive, Pig, Scala, Spark, Kafka - AWS CloudFormation, Terraform - SPSS Modeler, SPSS Statistics - R, KNIME, MATLAB - Tableau - Teradata, Oracle, talend
- 1 year and 8 months, Oct 2012 - May 2014
Business Intelligence Analyst
DeutschlandCard GmbH - Ein Unternehmen von arvato Bertelsmann
Main achievements: Developing a SAS infrastructure to evaluate the success of marketing campaigns. Compare customer response in target and control groups and generate standard reports. Analyze the shopping activity of customers, cluster them by preferences and life-style. Design a customer life-cycle model and implement it in SAS DI Studio. Tools/technologies: SAS Base, ODS, GRAPH, STAT, SAS Macro Language, Enterprise Guide, Enterprise Miner, SAS Data Integration Studio, Oracle SQL Developer
- 2 years and 7 months, Mar 2010 - Sep 2012
Java developer, Project coordinator
Lufthansa Systems
Main achievements: Developing the front-end of the passenger-network planning application in Java. Network visualization, user configuration management, creating new GUI elements. Leading the front-end development team in Budapest, couching new colleagues, planning deadlines and releases. Constant communication with the German partners.
- 4 years and 3 months, Dec 2005 - Feb 2010
Data Scientist
Lufthansa Systems
Main achievements: Design and implement machine-learning solutions for passenger-network planning. Preparing the data, using advanced analytics and machine-learning technics in SAS to forecast the future passanger-flow. Developing and testing statistical models and fine-tuning the model parameters. Tools/technologies: SAS Base, GRAPH, STAT, SAS Macro Language, Enterprise Guide, Enterprise Miner, Data Integration Studio
- 10 months, Dec 2004 - Sep 2005
Junior Statistician
Smart Exectuion LLC
Main achievements: Designing and developing automated trading algorithms and test them on the major US stock markets. Find optimal parameter settings to maximize the profit, analyze trade executions and trends and set up a new test environment for algorithm development. Creating weekly and ad-hoc reports for the management. Tools/technologies: SPSS, SAS Base, STAT, GRAPH, mySQL, Python, C++, CVS, batch scripts
Ausbildung von Peter Szabados
- 3 years and 10 months, Sep 2006 - Jun 2010
Economics
Corvinus University of Budapest
- 5 years and 10 months, Sep 1998 - Jun 2004
Applied Mathematics
Eötvös Loránd University, Budapest
Statistics, differential equations and cryptography.
Sprachen
English
C1 (Fließend)
German
C1 (Fließend)
Hungarian
C2 (Verhandlungssicher / Muttersprachlich)
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