Vedrana Vidulin
Founder AI ML Consultant & Senior Data Scientist
Croatia
Summary
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Senior🎓
Top SchoolVedrana Vidulin is a founder and senior data scientist with nine years of experience designing and delivering production-grade AI/ML solutions that bridge business impact and engineering rigor. With a PhD in applied machine learning, she combines research-grade methods (explainable models, metagenomic feature engineering) with hands-on engineering—APIs, microservices, Docker, Kafka and cloud ML workflows—to move proofs-of-concept into scalable deployments. She has led Responsible AI initiatives and EU AI Act alignment work while advising on GenAI feasibility, giving her a rare mix of regulatory, ethical and technical perspective. Her client work spans retail, tourism, energy and identity verification, including real-time anomaly detection, ultra-fresh demand forecasting, and automated web-data ingestion with geolocation. Beyond consulting, she designs and teaches semester-long ML courses, signaling a strong commitment to knowledge transfer and production-ready pedagogy.
9 years of coding experience
PhD in Compute Science Applied Machine Learning, PhD in Compute Science Applied Machine Learning at Mednarodna podiplomska šola Jožefa Stefana
Github Skills (2)
hierarchical-data9
machine-learning6
Programming languages (1)
Github contributions (5)
vedranav/hierarchy-decomposition-pipeline
Feb 2020 - Jun 2021
Hierarchy decomposition pipeline is a supervised machine learning tool that constructs random forest ensembles from data sets with hierarchical class.
Contributions:1 release, 52 commits, 47 pushes in 1 year 4 months
ensemble-classifierhierarchical-datahierarchical-multilabelmachine-learningsupervised-machine-learning
vedranav/My_precious_webpage
May 2017 - Jul 2021
Contributions:10 pushes, 1 branch in 4 years 3 months
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