Nicholai Stålung
About Nicholai Stålung
Nicholai Stålung is the Head of Data Science at Trifork and a member of the Program Committee at GOTO Conferences, with extensive experience in leading AI projects across various sectors.
Current Role at Trifork
Nicholai Stålung currently serves as the Head of Data Science and Lead Data Scientist at Trifork. Since 2020, he has been responsible for overseeing the data science initiatives within the company. His role involves applying agile methods to ensure projects have predetermined outcomes. He is known for his strategic approach to building high-impact AI projects across various sectors such as finance, transportation, and public infrastructure.
Previous Experience at Trifork
Prior to his current role at Trifork, Nicholai was a Data Scientist and Machine Learning Consultant at the same company from 2019 to 2020. He was noted for being the first Data Scientist hired by Trifork, where he laid the groundwork for the company's data science endeavors. His initial projects focused on leveraging machine learning to solve complex business problems.
Career as a Data Scientist
Earlier in his career, Nicholai worked as a Data Scientist at Staalung Consult from 2017 to 2019 in the Copenhagen Area, Denmark. During this time, he gained significant experience by working on various data science projects, further honing his skills and expertise in the field.
Entrepreneurial Ventures
Nicholai has also been involved in entrepreneurial ventures. He founded MinKreditvurdering.dk and Original Credit ApS, gaining experience in starting and managing businesses. These roles contributed to his understanding of finance and business operations, which he now integrates into his data science projects.
Educational Background
Nicholai Stålung holds a degree in Economics from Københavns Universitet - University of Copenhagen, earned between 2013 and 2016. Before that, he studied at Niels Brock, achieving his International Business Baccalaureate and Gymnasiel Handelseksamen from 2010 to 2013. His academic background provided a solid foundation in both economics and business, critical to his current roles in data science and AI.