02.01.2023 aktualisiert
100 % verfügbar
Data Scientist | Fullstack Developer
Ingolstadt, Deutschland
Weltweit
MBA | Msc EngineeringSkills
Datenanalysedata scienceDockerMachine LearningDeep LeraningPythonDevoloper Full Stackdevops engineerpower bi
- Multiple years of experience developping Data Science project ranging from analytics to production ready machine learning systems.
- Expertice with multiple data science libraries including pandas, numpy, scikit-learn, tensorflow, pymc3.
- Development of production ready code in Python using TDD (Test driven development), DDD (Domain Driven Design), SOLID Design Principles and good use of apropriate design patterns
- Development of code directly in containerized environments (Docker) bridging the gap from development to operations - DevOps
- Advocate of Agile methodologies
Tech Stack:
Python, C++, JavaScript, R, SQL, Linux, Git, Docker, Nginx, Jenkins, Ainsible, Power BI, AWS / Azure
Frameworks & Libraries:
TensorFlow, Keras, Django, Flask, PyMC3, Pandas, Scikit-learn, ExpressJS, React, React Native, Redux
How I work and what I can do:
TDD (Test driven development), DDD (Domain Driven Design), Agile / Scrum, Clean Code, Clean Architecture (SOLID Design Principles), Microservices, Design Patterns, Data Structures, Optimization, Dynamic Programming,
Sprachen
DeutschMutterspracheEnglischverhandlungssicher
Projekthistorie
- Improved the expected gross profit by a six digit figure (€) for each coming season by developing a system based on machine learning models and optimization algorithms to predict sales and adjust the quantity of items bought from suppliers accordingly during the planning phase of the season.
- Identified growth and expansion opportunities by analyzing more than 500 million data points, defining performance metrics and creating Power BI dashboards to share results to C-level management and advisory board of the company.
- Assisted the development of a A/B testing framework to optimize the use of promotion campaings through out Germany.
As part of the Industry Lab @Watson IoT Center I took the lead on various proof of concept projects were we tested with state of the art technologies to build solutions for our clients.
- Developed a prototype to solve trajectory optimization problems for automated vehicles with reinforcement learning techniques and using computer vision algorithms for obstacle detection.
- Coordinated and took an active role in the development of a React web application to showcase the solution during the International Motor Show Germany (IAA) and present it to internal management including IBM’s CEO as well as to the general public.
- Developed an object detection algorithm running on the edge (Jetson Nano) for a major energy company in Germany.
- Developed a showcase on how to use Reinforcement Learning to solve the Multiarm bandit problem using Thompson Sampling and displaying the solution through a React Dashboard
- Implemented a classification model to automatize a highly complex manual procedure formerly done by 5 PhD scientist at a major Automotive OEM. This solution was delivered as a dockerized REST API that was deployed to the client cloud instance via a web application.
- Achieved a 20% improvement of hardware utilization in a high performance computing cluster for a major automotive OEM by identifying load balancing opportunities and better job scheduling through data analysis and visualization techniques.