Munich, Germany

Andrei Tregubov

Data Scientist · R&D Engineer · M.Sc. Computational Mathematics

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About

Expertise with proven impact — the complete cycle, from complex math to a deployed container. More than three years of experience in research and building machine learning models.

Every model has a point where reality stops matching the assumptions. I don't trust its output until I've found that point — and the interesting part isn't building the model, it's noticing where it's been quietly wrong, proving why, and finding how to fix it. (get to know me better)

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Pipeline speedup
10 h → 15 min
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Peer-reviewed articles
published by age 23
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Time-series
datapoints processed
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International
conferences

Experience

Where I've worked

Institute of Applied Physics · Academy of Sciences

Data Scientist & Research and Development Engineer

Jul 2021 – Nov 2024
  • Built sensor data applications within a small cross-functional research team, carrying each from first idea to production-ready, mathematically verified solution
  • Engineered a domain-driven data methodology to clean and extract statistical features from dozens of gigabytes of real-world time-series data from long-term field measurements
  • Built a predictive risk-assessment model that replaced manual risk checks, subsequently commercialised to improve maritime safety
  • Formulated and proved a mathematical theorem for probability estimation of rare events in stochastic time-series
  • Two personal research grants awarded, the largest worth €130,000

Reference available on request

M.Sc. Completion & Relocation

Nov 2024 – Present

Completing my M.Sc., relocating and integrating to Germany; reaching German B2–C1 — alongside a part-time job (view reference).

Research

Publications

Atmospheric and Oceanic Physics · Springer · Oct 2025

Frequency Spectra and Surface Wave Height Distributions Based on Measurements off Sakhalin Island

Large-scale statistical analysis of real-world ocean wave measurements from pressure sensors off Sakhalin Island. Derives empirical frequency spectra and wave height distributions, validating theoretical models against extensive field data. Identifies conditions contributing to elevated probability of extreme wave events dangerous to marine infrastructure.

Springer Proceedings in Earth and Environmental Sciences · Nov 2023

Probability Distributions for Finite Ensembles of Irregular Waves

Numerical simulation study of the statistical behaviour in finite ensembles of irregular ocean waves. Derives probability distribution functions showing how finite-size effects deviate from classical infinite-ensemble theory, providing improved models for estimating rogue wave occurrence probability in real sea conditions.

Projects

Selected work

Wave Preprocessing Pipeline

End-to-end GUI application for raw ocean pressure-sensor data. Automated ingestion, quality control, feature extraction and anomaly detection — reduced workflow from 10 h to 15 min.

Python Pandas NumPy Scikit-learn

Sakhalin Sensor Pipelines

Data pipelines supporting the Springer publication on wave frequency spectra off Sakhalin Island. Statistical modelling of extreme events from long-term field measurements.

Python Pandas SciPy Statsmodels TensorFlow Docker AWS

Spectral Width Study

Numerical simulation and probabilistic analysis of random wave fields with wide Fourier spectra. Research codebase underpinning the finite ensemble probability distributions paper.

Python NumPy SciPy Matplotlib PyTorch

116117 Termin Monitor

Free service monitoring psychiatric appointment availability on Germany's 116117 platform. Checks every 10 minutes and notifies users by email when a slot opens. Live and in production.

Python FastAPI Playwright SQLite Docker Azure

Education

Academic background

M.Sc. in Computational Mathematics

University of Passau · Passau, Germany

March 2026 · GPA 1.8 (Good)

B.Sc. in Fundamental Mathematics

Higher School of Economics · Moscow, Russia

June 2023 · GPA 1.6 (Excellent)

Contact

Let's work together

Data Scientist and R&D Engineer based in Munich, Germany.

[email protected]