Summary

Data science student at University of Trento with a background in professional mountain biking.

Education

• Data Science

  2026
  University of Trento

  Courses: Machine Learning, Statistics for Data Science, Scientific Programming, Big Data Technologies
• Bachelor in Marketing Communication

  2023-06-30
  University of Finance and Administration

Work Experience

• Marketing and Sport Lead

  2023-01-01 -
  Sport Šumava

  Leading marketing strategy and execution across performance, brand, and visual identity. Leading a summer program of a bike school.

  • Marketing Analytics: Google Ads, Google Tag Manager, indexing and SEO improvements
  • Brand Marketing: blog posts, Instagram campaigns, and newsletters
  • Visual Branding: Canva/Figma for content design and brand consistency
  • Performance Analytics: data-driven evaluation of channels and engagement metrics
• Ski & Bike Instructor

  2022-05-01 - 2023-12-31
  MTB Italy, Viadomd (Switzerland, Italy)

  Taught mountain biking and skiing to diverse age groups and skill levels; combined coaching with performance analysis.

  • Built customized training plans and skill progressions
  • Organized and led large group sessions and camps
  • Adapted instruction to individual needs, goals, and safety requirements

Skills

Portfolio

• From CNNs to Transformers: Top-k Image Retrieval in a Competition Setting

  2025
  Machine-learning

  We implemented and evaluated multiple deep learning models, including CLIP, DINOv2, EfficientNet, ResNet, and GoogLeNet. Each model extracts feature embeddings from query and gallery images using a pretrained or fine-tuned encoder. Retrieval is performed by ranking gallery images according to cosine similarity with the query embedding. We tested both frozen and fine-tuned variants, and evaluated the impact of different pooling strategies (GAP vs. GeM) on retrieval performance.

  View Project
• Podcast Analytics & Recommendation Platform

  2025
  Big data technologies

  The system ingests both real-time events (from users) and batch transcripts + metadata (about podcasts), processes the data using Apache Spark, stores it in a Delta Lake, and then exposes structured insights and personalized recommendations via MongoDB to be consumed by frontend applications.

  View Project
• Israel–Palestine Conflict & Reddit Discourse

  2025
  Computational social science

  This project analyzes how public discussion on Reddit responds to real-world conflict events in Gaza and the West Bank. We combine data from Reddit (online discourse) and ACLED (verified conflict events) to examine temporal relationships using Python-based data science methods.

  View Project

Languages

• Czech

  Native
• English

  C2
• Italian

  Beginner

Interests

• Mountain biking
• Ski touring
• Big Data Technologies
• Cognitive science