AI Researcher, Data Scientist @ Surfer
💻 I work as a Data Scientist at Surfer.
I previously worked as a Machine Learning Engineer at Brand24 where I researched, develop and maintain machine learning solutions in the NLP domain.
I also worked for Q2Q Reasearch on a project that automates respondent selection for sociological surveys. It was done using genetic programming and decision trees.
📚 I graduated from the Wroclaw University of Science and Technology with a master's degree in Applied computer science - Data Science and a bachelor's degree in Computer Science.
- Assessment of Massively Multilingual Sentiment Classifiers @ WASSA ACL 2022
- Woźniak S. & Szymański P. (2021). Hex2vec -- Context-Aware Embedding H3 Hexagons with OpenStreetMap Tags @ GEOAI '21
- Gramacki P. & Woźniak S. & Szymański P. (2021). gtfs2vec: Learning GTFS Embeddings for comparing Public Transport Offer in Microregions @ GeoSearch '21
- Woźniak S., Przewoźniczek M.W. & Komarnicki M.M. (2020). Parameter-less population pyramid for permutation-based problems
@ PPSN 2020