Experience.

experience

1. 2022 — now

   Senior Data Scientist

   Solargis · Bratislava

   R&D of predictive analytics and data reliability solutions for PV and solar data. Product strategy, modular pipelines, classical ML, LSTMs, RAG. Contributor to the EU SERENDI-PV innovation project. Published at IEEE PVSC (2025, 2026) and EU PVSEC (2023); speaker at PyCon Slovakia 2022.

2. 2021 — 2022

   Senior Programmer / Data Scientist

   Berlin Brands Group · Bratislava (remote)

   Product recognition with deep learning, service deployment on GCP via Flask API. Marketplace data ETL, Euromonitor market-intelligence integration. Migration of SQL pipelines to PySpark. PowerBI dashboards.

3. 2020 — 2021

   Data Scientist / Python Developer

   Mechanic Tech Lab · Bratislava

   Prototyped novel AI-based solutions for the animation industry. Computer vision (OpenCV, PyTorch), generative models (GANs, normalising flows for image and voice synthesis), NLP (spaCy, scikit-learn).

4. 2020

   Analytics Adviser

   afringa · Kigali, Rwanda (remote, part-time)

   Proof-of-concept work leveraging video data in recruitment. Implemented and evaluated major speech-to-text APIs across AWS, Azure, IBM Watson, and Google Cloud.

5. 2017 — 2019

   Catastrophe Modelling Analyst

   Hiscox Re & ILS · London

   Structured and priced reinsurance treaties, co-managed exposure on a $1.5bn risk portfolio. Evaluated nat-cat models (RMS, AIR), produced regional analytics, improved reporting workflows. Led the internal #oneteam Hack initiative.

6. 2016

   Natural Hazard Modelling Intern

   JBA Risk Management APAC · Singapore

   Research into APAC natural-disaster scenarios. Flood inundation assessment using hydrodynamic models (tsunami-induced flooding in Hong Kong and Macau).

7. 2016 — 2017

   Due Diligence Researcher

   Thomson Reuters · London

   Local-language due diligence and business-risk identification on individuals and corporates. Litigation, bankruptcy, and regulatory checks.

8. 2014 — 2016

   Project Assistant

   J. G. Regan Ltd · London (part-time)

   On-site consultant for a boutique workplace-change consultancy. Project planning, analysis of workplace and storage data, client liaison across professional services, insurance, oil & gas, retail, and media.

education

• 2015 — 2016 MSc Mathematical Modelling, University College London (Distinction)
• 2011 — 2015 BSc Mathematics, Queen Mary University of London (First class)

skills

Domains

Renewable energy · catastrophe modelling · time-series · geospatial · uncertainty quantification

Languages

Python (primary), SQL, R basics, JavaScript basics

ML & data

numpy, pandas, scikit-learn, PyTorch, Keras, TensorFlow, Spark, geopandas, OpenCV

MLOps

git, GitLab CI/CD, Docker, Airflow, AWS / GCP basics, WandB / MLflow, ONNX

Viz & UI

matplotlib, plotly, Streamlit, Tableau, PowerBI, LaTeX

Spoken

English (fluent) · Slovak (native) · Czech (fluent) · German (B1) · Mandarin (HSK2) · Spanish (A2)

selected publications

• 2026 Impact of Multi-Instrument Quality Control on Reliability of Solar Measurements IEEE PVSC
• 2025 System of Automatic Detection of PV Mounting Configuration IEEE PVSC
• 2023 Assessing PV Energy Loss due to Snow with Meteorological Models EU PVSEC