Dario Culig-Tokic

Dario Culig-Tokic has a diverse work experience that ranges from mechanical design to artificial intelligence. Dario started their career as a Graduate Researcher at HEP Group in 2013. In 2014, they worked as a Mechanical Designer at MechWave Engineering. From 2015 to 2021, Dario worked at Porsche Croatia as a Data Analyst/Engineer, gaining experience in data analysis and engineering. In 2019, they became a Data Science Mentor at Udacity, where they shared their knowledge with aspiring data scientists. Currently, Dario holds the position of Master Data Scientist at AutoTrader.ca and also serves as the Director of Artificial Intelligence since April 2022.

Dario Culig-Tokic's education history begins with a Master's Degree in Mechanical Engineering from the University of Zagreb/Sveuciliste u Zagrebu, which they obtained from 2008 to 2013. Dario then pursued further education in the field of data science and machine learning. Dario completed a Machine Learning Engineer Nanodegree from Udacity from 2017 to 2018. Later, from 2019 to 2020, they obtained a Data Scientist Nanodegree from Udacity. In 2020, they also completed the Google IT Automation with Python course from Google pour les pros.

In addition to their formal education, Dario has acquired various certifications. Dario obtained certifications in several subjects, including "Business Metrics for Data-Driven Companies" from Duke University, "Learning How to Learn" from McMaster University, and "Machine Learning" from Udacity, among others. Dario has also obtained certifications from Google for courses like "Configuration Management and the Cloud," "Troubleshooting and Debugging Techniques," "Introduction to Git and GitHub," "Using Python to Interact with the Operating System," and "Crash Course on Python." Furthermore, they have certifications from Udacity for courses such as "Model Building and Validation," "Intro to Machine Learning," "How to Build a Startup," "A/B Testing," "Intro to Data Science," "Full Stack Foundations," "Intro to Relational Databases," "Linear Algebra," "Intro to Inferential Statistics," "Differential Equations in Action," "Intro to Statistics," and "Intro to HTML and CSS."