E D U C A T I O N

CONTROL SYSTEMS AND COMPUTER ENGINEERING (MASTER’S DEGREE)

Faculty of Electrical Engineering | University of Ljubljana

Oct 2015 – Feb 2017

• Recognition for Excellence

• GPA 9.64 / 10

APPLIED PHYSICS

Faculty of Mathematics and Physics | University of Ljubljana

2011 – 2015

S K I L L S

• Python, R, SQL, git

•  (Bayesian) data analysis/modeling

•  AI, Ranking, Agentic grounding/search, A/B testing, Causal inference, ML

• Claude Code, Software development

• Data engineering

T A L K S / P U B L I C A T I O N S

• How to estimate and leverage correlation between metrics | Plenary talk Booking.com Science &  Analytics 25

• A reality check on NHST in A/B tests | Outperform magazine by Eppo (print)

• A Bayesian Multilevel Model for Effective Proxy Metric Use in A/B tests | Conference on Digital Experimentation @ MIT ‘24

• The Science & Culture of Experimentation at Booking.com | DataScience@UL-FRI Meetup ‘24

• Rethink Significance, Boost Impact | Booking.com Science &  Analytics ‘24

• Poster: Estimating impact of shipped experiments with Bayesian shrinkage | Booking.com Science &  Analytics ‘24

• Thumbs up to Empirical Bayes | Booking.com Science &  Analytics ‘23

•  Tossing Around with Bayesian Inference | Python Pizza Hamburg ‘21

PYDATA LJUBLJANA & AMSTERDAM

Co-organizer | Nov 2021 – Feb 2024

W O R K   E X P E R I E N C E

SENIOR DATA SCIENTIST  | DuckDuckGo  | Oct 2025  – Present

• Building a web search index; on the ranking team, focused on evaluation and using machine learning to improve relevance. Example projects: owning customer-facing evaluations and learnings, finding the optimal trade-off between relevance and latency, improving results for specific query subgroups.

• Shaping experimentation best practices at the company: introduced formal non-inferiority testing and sample ratio mismatch checks.

• Initially worked across different objectives: driving insights into how search behaviour differs across entry points, building an outlier-detection model for installs.

DATA SCIENTIST | Booking.com | Aug 2022 – Aug 2025

• The most senior data scientist in Attractions. Mentored less experienced colleagues. Thought partner with stakeholders across product, engineering, and business teams, enabling the projects listed above.

• Led Attractions A/B testing strategy, ensuring reliable results.

• Developed (company-wide) frameworks and Python packages to:

    • Evaluate and effectively leverage proxy metrics in A/B tests,

    • Estimate the incremental impact of shipped experiments,

    • Design and analyze heterogeneous treatment effects at scale.

• Drove end-to-end development of product ranking, GenAI-powered social proof models (product tags), and rating-based sorting, cumulatively increasing the conversion rate by over 10%.

• Utilized causal inference to assess the performance of marketing campaigns or non-experimental  product changes.

DATA SCIENTIST | Outfit7 | Apr 2019 – Jul 2022

• Development and maintenance of A/B testing infrastructure, visualizations, and statistics, internal analytics packages, and data pipelines (Airflow).

• Initiative and delivery of research-oriented data science projects: Bayesian A/B testing, causal inference,  value of app features.

• Mentoring less experienced colleagues.

DATA SCIENTIST | Celtra | Oct 2018 – Mar 2019

• Developing metrics and key performance indicators. Producing efficiency, performance, and adoption analyses.

• Supporting other teams with the data using Snowflake data warehouse and SQL. Creating reports and dashboards.

DATA SCIENTIST (STUDENT) | Dia-Vit | Jan 2018 – Jun 2018

• Development of machine learning models, data visualization, statistical analysis and signal processing to calculate glucose level in blood  using Python.

DATA SCIENTIST (STUDENT)

AI Laboratory, The Jožef Stefan Institute | Dec 2014 – Aug 2015

• Development of anomaly detection mathematical model of friction coefficient in oil drilling machine.