Marko Prelevikj

Marko Prelevikj

Data Scientist with over 5 years of experience in machine learning, A/B testing, and product analytics. Proven track record optimizing mobile gaming products and digital advertising platforms through data-driven solutions.

About Me

Curious by nature, eager to dive deep into problems to break them down and build improved solutions

Professional Summary

I specialize in combining expertise in Python, SQL, and cloud computing to enhance business metrics and product performance. My experience spans mobile gaming analytics, digital advertising optimization, and natural language processing for Slavic languages. With over 5 years in the field, I've worked across diverse domains from real-time bidding platforms to mobile gaming LiveOps, always focusing on data-driven decision making and measurable impact.

Technical Expertise

Core Skills: Python, SQL, Machine Learning, A/B Testing, Product Analytics

Specializations: Cloud Computing, NLP, Real-time Bidding Systems, Data Pipelines, Statistical Analysis

Interests & Approach

Passionate about turning complex data into actionable insights. I enjoy tackling challenging problems in mobile gaming analytics and building robust experimentation frameworks. Always eager to learn new technologies and methodologies to improve data-driven decision making.

Professional Experience

My journey through data science and analytics

September 2025 - Present

Data Analyst

Tactile Games
Copenhagen, Denmark
  • Part of the data analytics team focusing on the LiveOps performance of Lily's Garden
July 2023 - January 2025

Data Scientist

Outfit7
Ljubljana, Slovenia
  • Lead product analytics initiatives focusing on app performance optimization
  • Designed and conducted reliable A/B tests to help stakeholders make informed decisions
March 2021 - June 2023

Data Scientist

Outbrain
Ljubljana, Slovenia
  • Engineered new features for CTR/CVR models
  • Enhanced the performance of the real-time bidding platform
October 2020 - March 2021

Researcher

Laboratory for Cognitive Modeling
Ljubljana, Slovenia
  • Worked on NLP tasks for the Slovene language as part of RSDO
  • Developed NER model now live at slovenscina.eu
September 2018 - August 2020

Data Analytics Intern

Celtra
Ljubljana, Slovenia
  • Managed data pipelines including storage, analysis, and serving
  • Contributed to data-related decisions and component ownership
March 2017 - August 2018

Solution Architect

IoT Startup
Remote
  • Designed data aggregation and analysis tools for IoT trackers
  • Built the system architecture from the ground up

Education

Academic background in computer science

Master's in Computer Science

University of Ljubljana
2017 - 2020
Thesis: Data-Driven Project Management
Mentor: Jure Demšar View Thesis →

Bachelor's in Computer Science

University of Ljubljana
2013 - 2017
Thesis: Generalization analysis of semantic segmentation with deep filter banks
Mentors: Matej Kristan, Vaclav Hlavac View Thesis →

Certifications

Neural Networks for Machine Learning

University of Toronto
2016
Instructor: Geoffrey Hinton

CCNA 1 Certificate

Cisco Networking Academy
2013
Cisco Certified Network Associate certification

Projects & Achievements

Notable accomplishments and contributions

Multilingual NER and Matching

2021
Multilingual named entity recognition and matching using BERT and dedupe for Slavic languages

Co-author: Slavko Žitnik View Publication →

Exchange Semester

2016
Studied abroad at Charles University in Prague, Czech Republic, expanding academic horizons and cultural experience.

Bytes of Banking Workshop

2015
Winner of the Advanced Skill Workshop, demonstrating excellence in financial technology and data analytics applications.

Web Design Competition

2013
First Prize at Web Design Competition organized by Narodna Tehnika Makedonija, showcasing early technical skills and creativity.

Get In Touch

Feel free to reach out for collaborations or opportunities

Location
Copenhagen, Denmark

Languages

Macedonian • English • Slovene • Serbo-Croatian