Summary
Shkurta Gashi is a data scientist based in Zurich with 9 years of experience translating machine learning research into production-grade AI systems for healthcare and global supply chains. She has moved from doctoral work on wearable sensing and behavior recognition to postdoctoral research at ETH AI Center and now builds hybrid forecasting solutions at Inter IKEA Group, combining statistical methods, deep nets and foundation models in Databricks. Her strengths span time series modeling, signal processing, and end-to-end deployment using Python, PySpark, SQL and MLflow, with a track record of leading student projects and teaching at the university level. Notably, she blends rigorous academic experimentation with pragmatic engineering—e.g., developing noise-detection and multi-model forecasting pipelines that improve item-level sales and out-of-stock analysis across stores.
9 years of coding experience
3 years of employment as a software developer
Master of Informatics, Master of Informatics at USI Università della Svizzera italiana
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at City College, International Faculty of the University of Sheffield
Albanian, English, Italian, German