Hi, I'm Tobias 👋
I am a Senior Data Scientist @ Boehringer Ingelheim and
Co-Founder of the software company ByteBakery UG (haftungsbeschränkt)
I currently live in Vienna, Austria 🇦🇹

📚 Publications
Driving Operational Excellence using Machine Learning
Utilizing data science for fast detection of influencing factors in biopharmaceutical manufacturing – a case study
Automated detection of macrophages in Quantitative Phase Images by Deep Learning using a Mask Region-based Convolutional Neural Network
Cell Detection and Segmentation in Quantitative Digital Holographic Phase Contrast Images Utilizing a Mask Region-based Convolutional Neural Network
📝 CV
🧑💻 Work Experience

Co-Founder
ByteBakery UG (haftungsbeschränkt)
Jun 2023 – Present
Building digital SaaS products including 🎁 Schenkwerk (voucher infrastructure for restaurants and retailers) and 👨🏻💻 IndieJobs (job intelligence platform). Responsible for product design, backend architecture, and go-to-market strategy.

Senior Data Scientist
Boehringer Ingelheim
Jun 2022 – Present
Leading Data Scientist for the biopharma unit in Vienna. Responsible for ideation, planning, and implementation of AI & ML use cases, including predictive analytics, internal AI tools for 3,000+ users, and company-wide digitalization initiatives.

Data Scientist
Boehringer Ingelheim
May 2021 – Jun 2022
Led data science activities for the large-scale cell culture production facility in Vienna. Developed predictive maintenance use cases, data visualizations, and integrated multiple real-time and batch data sources into an analytics data warehouse.
Research Assistant (Deep Learning for Computer Vision)
University Hospital Münster, Biomedical Technology Center
Sep 2020 – May 2021
Conducted research on automated detection of macrophages in quantitative phase images using Mask R-CNN. Published results in peer-reviewed journals and contributed to advances in bioimage analytics and digital holographic microscopy.

Data Scientist
Westphalia DataLab GmbH
Jan 2018 – Dec 2018
Developed predictive maintenance, fraud detection, and forecasting models. Built text-mining pipelines to classify sales activities and predict acquisition probabilities. Automated model evaluation and data crawling workflows.

Data Analyst Intern
Westphalia DataLab GmbH
Oct 2017 – Dec 2017
Supported database administration, data visualization, and customer churn prediction projects, helping to design analytical dashboards for clients.

Data Analyst Intern
Fiege Logistik
Jul 2017 – Sep 2017
Conducted data analysis and process optimization for logistics operations, contributing to reporting and KPI automation.
👨🎓 Education

M.Sc. Data Science and Advanced Analytics
Information Management School (IMS), Universidade NOVA de Lisboa
Sep 2019 – May 2021
Master Thesis: "Detection and segmentation of macrophages in quantitative phase images by deep learning using a Mask Region-based Convolutional Neural Network". Graduated with a final grade of 18.175/20 (equivalent to 1.0 in the German grading system).

B.A. Business Administration (Integrated Internship Semester)
Fachhochschule Münster – University of Applied Sciences
Sep 2014 – Jul 2018
Bachelor Thesis: "Text Mining Analysen zur Bewertung von Akquisepotenzialen – Eine theoretische Grundlage". Focus areas: Business Processes, Project Management, Finance, and Quantitative Methods. Final grade: 1.8.

International Business Administration (Exchange Semester)
Hanze University of Applied Sciences, Groningen
2016 – 2017
Exchange semester focused on International Marketing, Strategic Management, and Intercultural Business Administration as part of the bachelor program.
Get in Touch
Want to chat? Just shoot me a dm with a direct question on Linkedin and I'll respond whenever I can.
