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

•  A/B testing, Causal inference, ML, AI

• Software development: packages, reactive dashboards

• Data engineering

TALKS / PUBLICATIONS

• How to estimate and leverage correlation between metrics (plenary) | 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

DATA SCIENTIST

Booking.com | Aug 2022 – Present

• First data scientist in Attractions, now leading the craft. Mentor colleagues.

• Above expectations performance evaluation in 2023 & 2024.

• Attractions' experimentation ambassador: A/B testing strategy, quality, designs, and analyses. Developed frameworks for (1) estimating impact of shipped A/B tests with a  hierarchical model, (2) proxy metric evaluation and effective use.

• Led end-to-end development of data-related product features: (customer-centric) ranking, social proof models (product tags), sort by rating; significantly enhancing business performance measured with A/B tests.

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

• Co-developed a tool to design and analyze heterogeneous treatment effects in experiments at scale.

DATA SCIENTIST

Outfit7 | Apr 2019 – Jul 2022

• Development and maintenance of A/B testing infrastructure, visualizations, and statistics, internal R packages, and big 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.

PART-TIME FREELANCE DATA SCIENTIST

Harding Center for Risk Literacy | Sep 2019 – Dec 2019

•  Synthesizing and cleaning datasets on antibiotics prescription. Development and evaluation of machine learning models to predict antibiotic needs in patients.

DATA SCIENTIST

Celtra | Oct 2018 – Mar 2019

• Transforming ambiguously defined business problems into tangible and actionable outputs. 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 using Spark, Hive, and Shiny.

• Infrastructure: Creation and maintenance of data pipelines.

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.