Profile
Lead Data Scientist with extensive experience leading data science teams and delivering machine learning and AI solutions from exploration to production with measurable business impact. Track record spanning classical ML, forecasting, and GenAI applications, working closely with engineering teams and business stakeholders. Scientific background in theoretical physics.

SKILLS

• Programming & Data
  • Python
  • SQL
  • Git
  • Docker
• Data Science Stack
  • pandas
  • NumPy
  • SciPy
  • scikit-learn
  • TensorFlow/Keras
  • XGBoost
  • LangChain
• Quantitative Modelling & Machine Learning
  • Time Series & State-Space Models
    • ARIMA/SARIMAX
    • Kalman Filter
  • Machine Learning Methods
    • Regression
    • Tree-Based Models
    • Clustering
    • Ensemble Methods
  • Deep Learning
    • LSTM
    • GRU
    • CNN
    • Autoencoders
  • Uncertainty & Interpretability
    • Conformal Prediction
    • Shapley Values
  • GenAI & LLM
    • RAG
    • Document AI
• Cloud & Production
  • Cloud-native development
    • AWS
    • Azure
    • GCP
  • Production
    • Deployment
    • Monitoring
    • MLOps

PROFESSIONAL EXPERIENCE

11/2025 - heute
Career break

08/2021 - 10/2025
Eraneos Analytics Germany, Berlin
Lead Data Scientist

• Led multiple cloud-native data science projects from exploration (PoC) to production across diverse domains. Responsible for planning, implementation, stakeholder alignment and delivery quality across the full project lifecycle.
• Mentored junior and mid-level data scientists through coaching, code reviews, and methodological guidance, contributing to their development through goal setting, feedback, performance reviews, and promotion input.
• Active member of the Time Series Lab; contributed to the development of industry-specific ML offerings, including a day-ahead electricity price forecasting platform.
• Contributed to resource planning and team allocation ? matching skills to projects, supporting recruitment and onboarding.

01/2018 - 09/2020
Deloitte GmbH, Berlin
Senior Consultant

• Developed statistical risk and valuation models for large international banks, including scenario-based stress testing and sensitivity analysis under regulatory constraints.
• Built internal analytical tools, including a climate stress-testing framework, an operational risk benchmark model, and a balance sheet optimizer for capital allocation.

01/2017 - 12/2017
Ernst & Young GmbH, Berlin
Senior Consultant

• Developed and validated statistical models for risk assessment and credit rating processes for financial institutions, primarily in audit and compliance projects.

04/2015 - 08/2016
University of South Florida, Tampa
Postdoctoral Researcher

• Applied the multi-timescale framework to more complex biophysical models of neuronal dynamics, investigating additional physiological phenomena and pathological states. Published multiple papers in peer-reviewed journals

01/2011 - 08/2014
Technische Universität Berlin
Doctoral Researcher

• Used stability analysis and numerical simulations to develop a multi-timescale analysis framework for complex systems. Applied this framework to study transitions between normal neuronal activity and stroke-, migraine-, and epilepsy-related states. Published multiple papers in peer-reviewed journals as part of the PhD. Funded by the Bernstein Center for Computational Neuroscience (BCCN) Berlin.