Resume

Antonis Mavritsakis

Profile

Data scientist, risk analyst, and civil engineer with expertise in data and risk analysis for infrastructure asset management. With a background in both consulting and research, I excel in developing innovative solutions for complex decision‑making challenges. As a curious and adaptable professional, I thrive in collaborative environments and achieve impactful results.

Technical Skills

  • Statistics: Frequentist & (Hierarchical) Bayesian Modeling, (Generalized) Linear Modeling, Gaussian Process Regression, Mixture Modeling
  • Machine Learning: Deep Learning, Reinforcement Learning, Clustering, Dimensionality Reduction
  • Python: NumPy, SciPy, scikit-learn, statsmodels, PyTorch, JAX, PyMC
  • Backend: FastAPI, Pandas, SQLite, PostgreSQL, ML inference
  • Deployment: Docker, Git, bash, MLOps, CI/CD

Work Experience

Researcher - Data Science and AI

Self-employed (Jan 2023 – Present)

  • Developed JAXAgents, a Python package for optimized training of (Multi-Agent) Reinforcement Learning agents.
  • Trained Multi-Agent RL agents and deployed in an online game for human–agent competition.
  • Applied Reinforcement Learning through Human Feedback (RLHF) using human gameplay data.
  • Predicted stock price volatility based on sentiment recognition in r/wallstreetbets using Deep Learning.
  • Derived a winning strategy for beating Blackjack using Deep Reinforcement Learning.

Researcher / Consultant – Risk and Reliability

Deltares (May 2021 – Present)

  • Built regression models reducing infrastructure risk exposure by 22%.
  • Designed digital twins of civil assets for risk-driven decisions.
  • Led R&D in GPR and Bayesian modeling for geotechnical analysis.
  • Supervised MSc theses; published in ASCE and Nature.

Geotechnical Risk Consultant

Royal HaskoningDHV (Jan 2018 – Apr 2021)

  • Standardized risk-based design for flood protection systems.
  • Created analytics platform for geotechnical monitoring data.
  • Chaired the Engineering Risk and Reliability group.

Education

MicroMaster in Statistics and Data Science

MITx (2022 – 2024) - Grade: A

MSc in Civil Engineering

TU Delft (2015 – 2017) - Graduated cum laude

Diploma in Civil Engineering

National Technical University of Athens (2010 – 2015) - Graduated top 5% of class