Managing multiple global IT projects with cross-functional teams while adhering to schedule, scope, budget, and regulatory requirements.
Collaborating with domain architects and system architects to develop solutions.
Defining global rollout strategies for brands at various locations.
May 2023 - Present
2 years 3 months
Freelance Consultant and SaaS Founder
Aaria UG
Founded an AI-powered SaaS company offering industrial AI solutions.
Solutions tailored to both SMEs and large enterprises.
Advising clients in 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 the ETL process for log data from the internal file share to ELK.
Predictive modeling for shear tests on ultrasonic welding machines.
Predictive modeling of maintenance times for soldering systems.
Mar 2021 - Sep 2022
1 year 7 months
Data Scientist
Gea Group (FT division)
Generated actionable recommendations from time series and analytics data for process optimization using statistical methods and dashboard tools such as Power BI.
Predictive analytics.
Developed a reinforcement learning system for optimizing 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.
Project management 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 into business terms.
Assessed and developed strategies to improve data quality.
Developed BuyBox models for marketplace sellers.
Machine learning for intelligent NLP-based solutions.
Machine learning for product ranking and filter ranking.
May 2019 - Aug 2019
4 months
Full Stack Data Scientist
Orpheus GmbH
Prototyped an analytics bot model for anomaly detection and identification of interesting samples from spend data by implementing unsupervised machine learning 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
Created a model and overall system using a deep neural network to detect anomalies in measurement data that could not be realized during the process.
Developed a deep neural network with LSTM autoencoder for analyzing univariate and multivariate time series.
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 for the big data ecosystem.
Preprocessed measurement data (MDF) for geo-map-based applications.
Conceptualized a deep learning-based data analysis application for detecting and processing valid measurement data.
Integrated MATLAB applications into the online platform.
Created a demo to explain connectivity within the platform with IoT devices.
Delivered technical presentations and produced technical documentation.
As a working student: continued development of 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 for collecting metadata.
Developed a web interface for creating harvesting rules using drag-and-drop functionality.
Developed conversion rules.
Languages
English
Advanced
German
Advanced
Education
Oct 2015 - Jun 2019
Hochschule Rhein-Waal
Bachelor of Science, focusing on ML, distributed and intelligent systems · Communication and Information Engineering · Germany
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