Elias Anderlohr is a data scientist with nine years of experience building ML-driven solutions and cloud-native data platforms, currently on a 24-month graduate rotation at ODDO BHF where he applies NLP, topic modeling and anomaly detection to financial and compliance data. He previously engineered production-grade predictive systems at Deutsche Bank, including a FlexScore engine that serves 13 million clients with automated monthly model updates and ML Ops monitoring. His background blends large-scale data engineering (serverless AWS data lakes) with advanced sequence and Transformer-based models for customer journey and earnings-call analysis. Trained in business informatics across top European universities, Elias bridges technical depth and business impact, and has a practical knack for turning research prototypes into cloud-native tools like internal chatbots for private wealth teams. Notably, he combines early blockchain and ETL experience with hands-on teaching of OOP and AI topics, reflecting both breadth and an aptitude for explaining complex systems.
9 years of coding experience
2 years of employment as a software developer
Master's degree, Business Informatics, 1.3 (excellent), Master's degree, Business Informatics, 1.3 (excellent) at Vrije Universiteit Amsterdam (VU Amsterdam)
Bachelor of Science - BS, International Business Information Systems, 1.4 (excellent), Bachelor of Science - BS, International Business Information Systems, 1.4 (excellent) at Frankfurt University of Applied Sciences
Business Information Technology, 1.0 (excellent), Business Information Technology, 1.0 (excellent) at LAB University of Applied Sciences
College of Computer and Information Engineering, College of Computer and Information Engineering at 河南师范大学
Master of Science - MS, Business Informatics, 1.6 (good), Master of Science - MS, Business Informatics, 1.6 (good) at University of Mannheim
Contributions:9 reviews, 363 commits, 35 PRs in 4 months
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