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A portrait of me

 

Solution-oriented and technically advanced professional with extensive experience in project management and software development with a strong acumen of data analysis and machine learning. Develop expertise in advanced machine learning techniques and algorithms as well as models’ deployment across a production environment. Possess a strong aptitude to organize data, identify patterns and insights, draw meaningful conclusions, and clearly communicate critical findings. Skilled in formulating and executing effective methods/processes for simulation-based release and statistical model validation. Proficient in uncovering and troubleshooting varied data management issues.

 

Contents

 

Professional Experience

(since 2020)

Systems Engineer

Systems Engineering
Bosch Automotive Steering GmbH
Schwäbisch Gmünd

I’m currently the team’s data scientist in training and provide the team with data insights for operational design definition (ODD). I additionally support the software development capabilities of the team by providing the ability to use continuous integration methods for the team.

The most valuable contributions from my side are:

(2017-2020)

Development Engineer

Corporate Research
Robert Bosch GmbH
Renningen

Formulated and implemented effective methods/processes for simulation-based release and statistical model validation. Enabled successful execution of projects in an agile setting across different business units of Bosch. Collaborated with an agile Bosch-wide team comprising people from different business units, including but not limited to power tools, electric drives, power systems, brake systems, corporate research, and automotive steering.

(2012-2017)

Calculation Engineer

Computer Aided Engineering
Bosch Automotive Steering GmbH
Schwäbisch Gmünd

(2010-2012)

Project Engineer

MesH Engineering Team
Contract Engineer at Daimler AG
Stuttgart

 

Programming Experience

(since 2019)

Python and Jupyter

Utilized Python, Jupyter, and Pandas within a data sharing project with an OEM:

(2018-2019)

Python and Pandas

Developed a simulation quality framework based on the suggestion of Oberkampf & Roy during a corporate research project:

(2015)

NX NASTRAN

Generated an FE model analyzer with MATLAB for quality tests of NVH models:

(2009)

VBA

Formulated a depth-first search algorithm in Visual Basic in CATIA during a working student activity:

(2007)

ANSYS

Using the APDL script language, combined electrodynamic and structural mechanics within an FE model in ANSYS for my study work:

 

Education

(2022-2023)

Bosch Senior Data Scientist

The Bosch internal 1.5-year course gave me a deep expert knowledge of Data Science topics, with a large focus on hands-on knowledge and project work within my department, accompanied by Bosch BCAI mentors.

The course is divided into two parts: Junior Expert and Senior Expert. Both parts consist of a “classroom” training phase (online since Corona) and a project phase. The topics covered in the junior’s classroom phase are:

And in the senior’s classroom phase:

(2021)

Machine Learning Engineer Nanodegree

Learn advanced machine learning techniques and algorithms and how to package and deploy your models to a production environment. Gain practical experience using Amazon SageMaker to deploy trained models to a web application and evaluate the performance of your models. A/B test models and learn how to update the models as you gather more data, an important skill in the industry. [Udacity]

I took a liking to the Udacity didactic, and as part of a Bosch/AS project, I could advance within the field of machine learning. So I completed this Nanodegree at the beginning of the year.

The capstone project, the final test for the Nanodegree, involved creating and training a CNN to detect dog breeds with >80% accuracy. It is hosted in a GitHub repository.

(2020)

Data Analyst Nanodegree

This program prepares you for a career as a data analyst by helping you learn to organize data, uncover patterns and insights, draw meaningful conclusions, and clearly communicate critical findings. You’ll develop proficiency in Python and its data analysis libraries (Numpy, pandas, Matplotlib) and SQL as you build a portfolio of projects to showcase in your job search. [Udacity]

During the COVID-19 crisis, while I was on short-time work, I invested my private time into the Udacity Data Analyst Nanodegree (and this website). I completed the course in June. I learned how to use Jupyter Notebooks, Matplotlib, Seaborne, and most importantly, the Statsmodels toolbox. The course is founded on two pillars: data analysis and results communication, both mastered with the correct use of different hypothesis testing methods and profound usage of the plot capabilities of Python.

The projects I completed during the Udacity Nanodegree are hosted in a GitHub repository.

(2003-2009)

Mechanical Engineering

Dipl.-Ing. Automotive and Engine Engineering
University of Stuttgart
Stuttgart

Majors: Vehicle dynamics and simulation technique

Diploma Thesis: Modelling and Simulation of an automated heavy-duty gearbox

I wrote my diploma thesis as an on-site performer at Daimler AG, where I modeled and simulated a 16-gear transmission for heavy-duty vehicles within Matlab and SimulationX. The goal of the model was to increase the quality of the application of a so-called countershaft brake to reduce shift speed and jerk.

(2002-2003)

Civil Service

Association for Humans with Disabilities e.V.
Nuremberg

During my civil service, I learned to take responsibility for myself, people, and my community. I helped disabled children and frail elders by commuting them to school, for shopping, or to a doctor’s appointment safely, reliably, and in a friendly way.

(until 2002)

School

Wilhelm Löhe School
Nuremberg

A-Levels: Qualification for university entrance with the majors in mathematics, geography and chemistry.

At school I engaged myself as a photographer at the schools gazette and the choir.