Summary
Marco Kaenzig is a Senior Data Scientist based in Zurich with four years of experience building and deploying production ML models for customer engagement, churn prediction, segmentation and predictive maintenance. He has led end-to-end ML platform development and A/B testing at Swisscom and designed high-frequency sensor data pipelines and variational-autoencoder–based anomaly detection at Geberit. Trained at ETH Zürich (MSc Statistics) and HSR with an exchange at UNSW, he combines strong statistical foundations with practical engineering to translate analytics into actionable business outcomes. Comfortable across big-data stacks and model deployment, he focuses on making insights operational rather than merely exploratory. Colleagues describe him as pragmatic and product-minded—treating data science as a tool for measurable business impact.
4 years of coding experience
3 years of employment as a software developer
Professional maturity certificate, 5.8, Professional maturity certificate, 5.8 at Berufsschule Rüti ZH
UNSW Sydney
Bachelor of Science FHO, Industrial Engineering and Management with specialization in Data Science, Bachelor of Science FHO, Industrial Engineering and Management with specialization in Data Science at HSR Hochschule für Technik Rapperswil
Design engineer EFZ, 5.7, Design engineer EFZ, 5.7 at libs
Master of Science - MS, Statistics, Master of Science - MS, Statistics at ETH Zürich
German, English, French, Chinese, Italian