Philipp S.
About Philipp S.
Philipp S. is the AI & Analytics Business Lead at Solita, where he has worked since 2023. He has a background in data science and economics, with experience in various roles across multiple organizations, including Lufthansa and Københavns Universitet.
Work at Solita
Philipp S. has been employed at Solita since 2021, initially serving as a Data Scientist for three years in København, Hovedstaden, Danmark. In 2023, he transitioned to the role of AI & Analytics Business Lead, where he has been working for one year in the Copenhagen Metropolitan Area. His responsibilities include leading initiatives that leverage artificial intelligence and analytics to drive business solutions. Philipp utilizes AWS services such as Sagemaker, Lambda, and Fraud Detector in his projects. He is part of a small team that has doubled in size, fostering a collaborative environment where team members know each other well both personally and professionally.
Education and Expertise
Philipp S. holds a Bachelor of Science in Economics from The University of Bonn, which he completed from 2013 to 2017. He furthered his education with a Master of Science in Economics from Københavns Universitet, studying from 2017 to 2019. Additionally, he studied at The University of Hong Kong for one year, earning a Bachelor's Degree in Economics. Philipp has also pursued a Nanodegree Program in Introduction to Machine Learning with TensorFlow through Udacity since 2020. His expertise includes deep neural networks, machine learning applications, and social data science, with a strong interest in behavioral data.
Professional Background
Prior to his current role at Solita, Philipp S. worked at adviqo Group as a Data Scientist for 11 months in Berlin, Germany, from 2020 to 2021. He also served as a First Officer at Lufthansa for one year in Frankfurt Am Main, Germany, from 2019 to 2020. His earlier experience includes positions as a Student Research Assistant at Københavns Universitet from 2017 to 2019 and at the Institute for Applied Microeconomics from 2015 to 2016. Philipp has also interned at the German Council of Economic Experts and worked as a Census agent at Statistisches Bundesamt, Destatis.
Projects and Contributions
Philipp S. has developed a job recommender system using machine learning, aimed at supporting job seekers and assessing its potential impact on the Danish workforce. He engages in projects that involve social data science and experimental economics. Additionally, he conducts C-level workshops on generative AI, sharing insights and knowledge with industry leaders. Philipp also writes articles on applied machine learning topics for Towards Data Science and maintains a personal blog where he shares insights and articles related to data science and machine learning.