Ondrej Mlynarcik

Data Scientist • Data Engineer • Automation Specialist
Building reliable data pipelines & applying ML to real problems

🧰 Skills

Python · SQL · R · Google Cloud · Tableau

Data Engineer @ Societe Generale (Oct 2024 – Present)

Implemented automated data quality controls using Python and Teradata, reducing manual work by 85%.
Managed data warehouse changes through deployments that ensured timely and reliable data for reporting and analytics.
Designed an Oracle solution to efficiently parse 500M+ XML files, improving data accessibility for BI.

AI Automation Specialist @ Brandsom (Jan 2024 – May 2024)

Used GPT-4 Vision to automate information extraction from product images, saving ~60 hours/month.
Developed a tool with Python and prompt engineering to generate Amazon.nl and Bol.com descriptions from attributes, reducing manual work by ~70 hours/month.

Integration Specialist @ Brandsom (May 2022 – Dec 2023)

Used regression models to analyze price elasticity, providing clients with data-driven insights into pricing strategies.
Led the development of an ETL pipeline (scraping → Airflow → Cloud → Dashboard), delivering a new dashboard product for ASICS.

Data Analyst @ Gajos (Jan 2021 – Mar 2022)

Built interactive dashboards in Tableau to visualize eshop and website performance for management.
Developed SQL stored procedures to optimize product imports, saving 40 hours/month of manual work.

Developed a reproducible, data-driven strategy to compute tree visibility nationwide in the Netherlands using the Viewshed algorithm.

Viewshed Discovery at Three Levels

Analyzed gender representation in English song lyrics (1960–2020) with NLP and semantic analysis.

VAD Scores

Developed a Selenium + BeautifulSoup scraper for nehnutelnosti.sk, the leading Slovak real estate platform.

Selenium Scraper

An interactive Tableau dashboard that visualizes the Guardian University Rankings for Edinburgh University.

Dashboard

Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow
by Aurélien Géron