Omschrijving

PhD Economist (Dr. oec., magna cum laude) with 15+ years blending rigorous statistical analysis, advanced econometrics, and international project leadership across 25 countries. Fluent in German, English, and Spanish.

My edge is rare: I combine PhD-level econometrics (gravity models, fixed-effects panel regressions, causality testing) with hands-on data science in Python and direct experience delivering insights for C-suite and board-level decision-makers across 25 countries.

I don't just model. I understand what senior stakeholders need from data and deliver it in a language that convinces boards, investors, and funders.

What I do for clients

Advanced statistical analysis and econometrics: from market predictions to program evaluation to survey data
Causal inference and forecasting: where correlation is not enough and the methodology must be bulletproof
Quantitative trading strategy development: signal generation, backtesting, algorithmic strategy development in Python
AI output validation: ensuring AI-generated analyses, models, and research meet the standards required for investment, publication, and board-level decisions

Track record

International Project Leader, multinational company: Led cross-functional projects across 25 countries, conducted in-depth data analysis and benchmarking for board-level strategy and restructuring initiatives. References highlight “precise data analysis, strategic implementation, and outstanding stakeholder management.”
Freelance Quantitative Analyst & AI-Trainer: Supporting clients with quantitative market analysis, risk assessment, and validation of AI-generated content and models.
Academic Research: MIT Press publication, ifo Institute Munich publication, University of Hohenheim

Available remotely for international clients. I have worked with clients across the US, Europe, and the Middle East. Fluent in English, German, and Spanish.

Branche-expertise

Talen

Duits
Tweetalig / moedertaal
Engels
Vloeiend
Spaans
Vloeiend

Voorkeuren voor werkplek

Uitsluitend remote

Werkt voornamelijk remote

Self-employed
AI Model Validator & Economics Domain Expert
HIGHTECH
januari 2023 - Vandaag (3 jaren en 5 maanden)
Stuttgart, Duitsland
Domain expert for AI model evaluation and validation in economics and data science:
- Reviewed and evaluated LLM outputs for statistical correctness, economic reasoning, and methodological accuracy
- Assessed AI-generated code, analyses, and models against academic and professional standards
- Provided expert feedback to improve model quality in quantitative finance, econometrics, and data science domains
- Selected as specialist contributor based on PhD-level expertise in economics and quantitative methods
artificial intelligence Modeloptimalisatie AI en geavanceerde analyse Prompt engineering Machine learning
Self-employed
Freelance Data Scientist & Quantitative Analyst
ONDERZOEKSCENTRA
juli 2022 - Vandaag (3 jaren en 11 maanden)
Stuttgart, Duitsland
Quantitative research and data science for international clients across industries:
— Real estate market analysis, Dubai: regression models identifying pricing drivers and investment opportunities for international investors
— Statistical peer review of AI-assisted research: currently validating methodology, causal inference framework, and forecasting models of an AI-generated academic paper, ensuring results meet rigorous econometric standards. Core focus: establishing causality and forecast validity where AI produces plausible-looking but methodologically flawed outputs
— AI output validation for business-critical decisions: ensuring AI-generated analyses and models meet the standards required for board-level, investment, and publication decisions, bridging the gap between what AI produces and what senior stakeholders can actually rely on
— Survey data analysis with statistical inference for US nonprofit organizations
Python Machine learning Causal Inference Time Series Analysis Econometrics
Self-employed
Discretionary Trader & Algorithmic Strategy Developer
BANKEN & VERZEKERINGEN
mei 2019 - Vandaag (7 jaren en 1 maand)
Stuttgart, Duitsland
— Active discretionary trader since 2019: technical analysis with systematic risk management frameworks across equity and digital asset markets
— Currently developing an algorithmic trading strategy in Python: signal generation, backtesting systematic buy/sell rules, integrating macroeconomic signals and ML models into a production-ready framework
Python Time Series Analysis Machine learning Statistics Trading Strategy