ML/AI Engineer, Data Scientist, Economist
Profile
Bridges machine learning, agentic AI, data engineering, and MLOps into scalable end-to-end solutions. Combines rigorous statistical foundations and causal inference with economic acumen to develop robust, value-driven data products and sustainably enable data-driven decision-making.
Tools & Expertise
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ML Engineering
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Agentic AI
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Python
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MLOps & LLMOps
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Data Engineering
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Data Frontend
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Statistics & Econometrics
Certifications
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IBM RAG and Agentic AI
IBM @ Coursera
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Machine Learning Engineering for Production (MLOps)
DeepLearning.AI & Google @ Coursera
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Data Engineering
DeepLearning.AI & AWS @ Coursera
Languages
- GermanNative language
- English4/5
- Spanish2/5
Experience 7 entries
Freelancer
welded.io UG
Mettmann, Germany (remote)
- Owned the design and architecture of a scalable data platform for processing high-resolution IIoT real-time data
- Implemented an AI-based computer vision pipeline end to end for visual monitoring of industrial processes
agital.online GmbH
Lüneburg, Germany (remote)
- Designed and implemented a large-scale, continuous monitoring system for heating oil prices
- Developed and deployed an interactive dashboard for data-driven market monitoring
- Built a data lake enabling high-performance analysis of over 2 billion price data points
Nahnetz GmbH
Hamburg, Germany (remote)
- Responsible for the design, modeling, and evaluation of market and preference analyses (including conjoint analyses), leveraging Bayesian models to deliver robust market potential estimates
- Developed simulation-based decision-making models for assessing and optimizing the economic viability of battery storage systems, leveraging probabilistic methods (Gaussian process regression)
Raiffeisen Networld GmbH
Cologne, Germany (remote)
- Developed predictive vision models to estimate soil organic carbon content by integrating satellite imagery and in-situ data
- Developed probabilistic demand forecasts to optimize data-driven B2B customer campaigns, incorporating uncertainty quantification to support more robust decision-making
Causiq AB
Stockholm, Sweden (remote)
- Owned the design and implementation of a tailored Bayesian media mix model for measuring the causal impact of marketing channels
- Developed an attribution model based on Shapley values for fairly attributing marketing effects
Research Assistant and Tutor
- Contributed to DFG-funded research projects in behavioral economics and empirical economic research, including designing and evaluating randomized controlled trials (RCTs); built and analyzed complex panel datasets using econometric models; taught statistics and programming (R) as a lecturer and tutor.
Education 5 entries
PhD Candidate in Economics
Universität Hamburg
Hamburg, Germany
DFG Research Training Group: Internationalization of the Law and its Economic Analysis · DFG full scholarship
- Bayesian semiparametric hierarchical GLM estimation of foreign direct investment flows and stocks based on dyadic panel data
- Developed causal models to account for endogenous sample selection and non-random missing data in order to identify heterogeneous contract effects
MSc Politics, Economics, and Philosophy
Universität Hamburg
Hamburg, Germany
- Hierarchical Bayesian analysis to model the behavioral-economic effects of individual bidding behavior in Dutch auctions (reverse auctions)
Erasmus Exchange
Aarhus Universitet
Aarhus, Denmark
B.A. in Political Science and Economics
Universität Bremen
Bremen, Germany
- Quantifying strategic voting behavior in European interwar democracies through regression analyses
Abitur (German university entrance qualification)
Freie Evangelische Bekenntnisschule Bremen
Bremen, Germany