Managing multiple global IT projects with cross-functional teams while ensuring schedule, scope, budget, and legal requirements.
Collaborating with domain architects and system architects to develop solutions.
Defining global rollout strategies for brands at different locations.
May 2023 - Present
2 years 4 months
Freelance Consultant and SaaS Founder
Aaria UG
Founded an AI-powered SaaS company offering industrial AI solutions.
Solutions catering to both SMEs and large enterprises.
Advising clients on project management and data science.
Oct 2022 - Apr 2023
7 months
Data Scientist
Infineon Technologies AG
Developed a data science strategy.
Established data integration and ETL process for log data from internal file shares to ELK.
Built predictive models for shear tests on ultrasonic welding machines.
Built predictive models for maintenance times of soldering systems.
Mar 2021 - Sep 2022
1 year 7 months
Data Scientist
Gea Group (FT division)
Created action recommendations from time series and analytics data for process optimization using statistical methods and dashboard tools like Power BI.
Performed predictive analytics.
Developed a reinforcement learning system to optimize the milking robot.
Supported the design and implementation of the data infrastructure.
Oct 2019 - Feb 2021
1 year 5 months
Data Scientist (Team Lead)
Conrad Electronic Group
Developed strategy and roadmap for implementing an AI system for online shops.
Led a cross-functional team.
Managed projects using agile methods combined with CRISP-DM.
Hired and mentored new talent (Data Scientists, Data Engineers, and working students).
Managed stakeholders and translated technical and scientific information for the business.
Evaluated and developed strategies to improve data quality.
Created BuyBox models for marketplace sellers.
Applied machine learning for intelligent NLP-based solutions.
Applied machine learning for product ranking and filter ranking.
May 2019 - Aug 2019
4 months
Full Stack Data Scientist
Orpheus GmbH
Prototype an analytics bot model to detect anomalies and interesting samples from spend data by implementing unsupervised ML methods and recommendation systems.
Integrated the methods into the application.
Nov 2018 - Mar 2019
5 months
Bachelor Thesis: Anomaly Detection with Neural Networks
Bosch Engineering GmbH
Built a model and overall system with a deep neural network to detect anomalies from measurement data that couldn’t be identified during the process.
Developed a deep neural network with LSTM autoencoder for univariate and multivariate time series analysis.
Mar 2018 - Oct 2018
8 months
Data Analysis and Application Development (Internship and Working Student)
Bosch Engineering GmbH
Developed a data aggregation service: Docker container–based microservice application for data aggregation in the big data ecosystem.
Preprocessed measurement data (MDF) for geo-map-based applications.
Designed a deep learning–based data analysis application to detect and process good measurement data.
Integrated MATLAB applications into the online platform.
Created a demo to explain platform connectivity with IoT devices.
Delivered technical presentations and wrote technical documentation.
As a working student, continued developing a data aggregation application for measurement data (MDF).
Sep 2016 - Mar 2018
1 year 7 months
Student Assistant (Web Development)
GESIS - Leibniz Institute for the Social Sciences
Programmed the server to collect metadata.
Developed a web interface to create harvesting rules via drag-and-drop.
Created conversion rules.
Languages
German
Advanced
English
Advanced
Education
Oct 2015 - Jun 2019
Hochschule Rhein-Waal
Bachelor of Science, with focus on ML, distributed and intelligent systems · Communication and Information Engineering · Germany