Proceeding what I started in 10/2023, offering my data science development skills full time to international clients.
Helping companies learn more about their existing unstructured data, optimize processes, technical systems and derive solutions for their problems.
Python (sklearn, pandas, numpy, Django, sqlAlchemy, pyTorch)
Matlab
Docker
AWS EC2
Lambda
S3
SQL
MySQL
Hadoop & Spark
Machine Learning
DNN
AI
Jira
Confluence
Git
CI/CD
GitLab
Jenkins
Within this time I took my budget for a long-term traveling experience and started my new path as freelancer. I built a van, traveled South America and worked in remote projects as well as started my own project.
I continuously educated myself in data science and software development, learned new technologies and worked for customers in the area of machine learning, optimization and LLM training.
Successful implementation of cloud-based data crawler
Data-base migration with 85% cost reduction
Solar system optimization with up to 35% cost reduction
RFID tag recognition modeling, model prediction quality increase of 15%
LLM training and validation data creation
Home solar system cost optimization
Machine learning for RFID tag classification
Data crawling and evaluation
Van construction and crafting
Traveling guide
Python (sklearn, pandas, numpy, Django, sqlAlchemy, pyTorch)
Docker
JavaScript
MS Azure
AWS EC2
Lambda
S3
MySQL
Hadoop & Spark
LLM Prompting
Starting as technical project manager, I got a certified project manager and managed several engine calibration and methodology development projects for German and Japanese customers. I was in charge for project acquisition and long-term relationship with Japanese car manufacturers. I acquired and managed several projects with up to 15 engineers. The customers still purchase projects up to mass production software development at IAV GmbH within this department.
Planning and completion of international projects with up to 15% revenue
Project acquisition from prototype to pre-mass production software development
Successful management of mass production taskforce
Technical and organizational, budget responsible project management
Project acquisition
Methodology development expert
Combustion control expert
Matlab
Python (sklearn, pandas, numpy, pyTorch)
CI/CD
GitLab
Jira
Confluence
ETAS INCA
AVL PUMA
A&D ORION
MS Project
After successfully rolling out the software, I switched to combustion engine development. We developed and applied algorithms for engine combustion control and control unit software development for Japanese customers. Additionally we developed processes and methodologies to strongly reduce the engine development time and costs for our customers.
Modelling of prototype engines, strong reduction of engine calibration effort
Mathematical methodology development
Machine learning and optimization expert
Technical expert for methodology and combustion control
Matlab/Simulink
Python (sklearn, pandas, numpy, pyTorch)
CI/CD
Jenkins
Git
Jira
Confluence
ETAS INCA
AVL PUMA
A&D ORION
Within IAV GmbH, I switched to the software development team. Within a client project, we adjusted the existing commercial software regarding the customer needs to roll out the software at a known German car manufacturer. I was part of an Agile Scrum development team, deputy scrum master and expert for the underlying machine learning technology.
Successful rollout of commercial software at German car manufacturer to strongly reduce engine development costs
Full-stack software development
Machine learning and test design expert
Deputy scrum master, representative at customer
CI/CD
Matlab
Python (sklearn, pandas, numpy, pyTorch)
Java
SQL
CI/CD
Jenkins
UML
Socket Interface
Jira
Git
StarUML
Next to my PhD thesis research, I worked at IAV GmbH in the department for method development for combustion engine calibration. I was in charge to develop algorithms for an adaptive test design method for the optimization of engine tests to train machine learning models with the target to optimize the combustion.
Additionally, I was the technical expert to adapt a commercial software, which was equipped with my calculation logic and developed ML algorithms.
Commercial software release with ML algorithms
Engine calibration time reduction up to 30%
Mathematical method development (linear algebra and stochastic)
Expert for test design algorithms
Complex calculation logic development
Consulting expert for the software development team
Matlab
Java
SQL
CI/CD
Jenkins
UML
Socket Interface
Jira
Git
StarUML
10+ years experience in data science in automotive. PhD in machine learning for thermodynamic control, more than 3 years experience in fullstack software development with SCRUM, 2 years experience in technical and budget responsible project management (Kanban) for Japanese and German car manufacturers like Mercedes AMG, Nissan, Mitsubishi.
My passion for data and all the, beforehand unknown, findings generated from data analysis raise my enthusiasm for the data science. Either working focused on exciting projects in a team or leading engineers and scientists within complex projects generates happiness and personal well-being. Even though I love trying to find the optimal solution, I’m always focused on the project goals and best price for value output. Due to my engineering background, my greatest expertise can be found in data science for technical systems.
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