Christian Schwöbel is a freelance data scientist and Industrial IoT specialist with 11 years of experience bridging academic research and product-focused engineering. With a Dr.-Ing. in Computing in Civil Engineering, he has driven applied research and prototype delivery—from smart metering and energy-behavior gamification to industrial AI pilots—combining Python, C# and PostgreSQL fluency. He has a track record at venture-builder wattx and triebwerk.ai of scoping technical feasibility, running stakeholder interviews, and rapidly turning ideas into pilots for construction and factory-floor digitization. Comfortable in both research and hands-on engineering, he blends rigorous modeling and data engineering skills (Udacity Data Engineering Nanodegree) with a game-development mindset to make complex systems usable and engaging. An understated strength is his ability to translate domain-specific problems into scalable data products that accelerate commercialization.
11 years of coding experience
10 years of employment as a software developer
Technischen Universität Darmstadt
Data Engineering Nanodegree, Data Engineering Nanodegree at Udacity
Informationstechnologie, Informationstechnologie at Hochschule Mannheim
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