Summary
Hi, I am a Data Scientist at the Volkswagen Data Lab. I did my master’s degree in statistics, since the beginning of my studies I program in R for universities and different jobs. I am very experienced at applying machine learning algorithms as well as data wrangling/cleaning in R. Currently I extend my Big Data programming skills (Hive, Spark, etc.) and take part in numerous kaggle challenges.
Education
LMU Munich, 10/2009-09/2011
09/2011 Bachelor of Science (final grade: 1.8)
Field of study: Statistics
Focus: Economics
LMU Munich, 10/2011-08/2014
Field of study: Statistics
08/2014 Master of Science (final grade: 1.5) |
Experience
Working student BEC Engineering, analysis and simulation:
- simulation and investigation of mismatch losses for PV modules by means of a self- implemented algorithm in MATLAB, results were presented at a symposium
- consulting management in terms of statistical analysis, e.g.:
- Determination of optimal sample size for the quality control of PV plants, held a presentation to the management board
- set up an in-house wiki for statistical quality control
- deployment of graphical user interfaces in MATLAB for the performance analysis of PV-modules from SQL tables
Working student/intern Middle Office Allianz SE Group Risk:
- implementation of analysis tools in VBA/MS Access , e.g. set up an automated report of financial risk figures for the CROs of all OEs
- supporting Middle Office with preparation of quarterly reports
- preparation and follow up of a Middle Office process workshops
Intern at CRM Allianz Life USA, Minneapolis:
- project leadership: developing a proposal for the calculation of morbidity risk in the framework of Long Term Care business following the guidelines of Allianz’s Internal Solvency II model, held a final presentation to the CRM department
- supporting supervisor, i.e. preparing spreadsheets and presentations
Working student dotplot GmbH:
- implementation of R functions in the browser-based interface for statistical analysis
- consulting management in terms of financial analysis within R
Research assistant at the Institute of Computational Biology, Munich:
- implementation of algorithms for the analysis of cellular data within R and C++, co-author of an R-package
Data Scientist, Alexander Thamm GmbH |
- implementation of aftersales prediction models by means of R
- in the context of “connected car” projects: preprocessing, analysis and visualization of machine data by means of R
- Preparation of analysis results by means of interactive Tableau graphics
- Presentation of work results for a target-group-specific audience
Data Scientist @ Volkswagen Datalab, Autovision GmbH
- implementation of aftersales prediction models by means of R
- implementation of data models by means of Hive
|
Skills
- R (6 years experience, implementation of a machine learning algorithm within my master’s thesis, related R-package “DStree” is available on CRAN)
- Matlab (6 years experience)
- SQL (6 years experience)
- C++ (1 year experience)
- Python (1 year experience)
Specialties
- Coursera online course: Mining of Massive Datasets, - Data Scientist training: Big Data Architecture at Fraunhofer IAIS, - edX online course: Introduction to Big Data with Apache Spark
Spoken Languages
English (professional), German (native)