
Kevin
Strengths
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E-mail:
kevin@statistiknachhilfe.chKevin has a high affinity for numbers and data. He is our expert in economics, data science, project management, inductive/descriptive statistics, big data analysis and (sales) marketing.
He attended a bilingual high school in Switzerland and began his academic career in 2010 as a Bachelor of Economics and Business Administration student at the University of Zurich. His studies focused on marketing, finance and service management. After successfully completing his bachelor's degree, he began a master's degree in business administration and data sciences, which he graduated summa cum laude in 2019 as one of the best graduates.
His analytical skills are in great demand. Kevin has gained experience outside of his academic career in numerous companies and is currently working as an expert in artificial intelligence and machine learning at PricewaterhouseCoopers (PwC), one of the world's top four accounting firms in terms of revenue. In the course of this work, he is working on the development of a data analysis platform that enables companies to create AI-based models.
He acquired the necessary skills during his work as a lecturer in deep learning and machine learning at the University of Zurich. There he was actively involved in the programming of neural networks (ANNs, CNNs and RNNs) in Python and created corresponding teaching content for students.
Before that he also worked as an entrepreneur for several years and developed concepts for online shops to optimize sales processes based on key performance indicators and to design corresponding marketing concepts.
Knowledge and strengths
Due to his diverse knowledge in various economic disciplines, Kevin is the ideal contact person and a competent teacher for questions in the field of Inductive/Descriptive Statistics, Data Science, Economics, as well as Marketing and Project Management.
Thanks to his analytical skills, he is also easily able to familiarise himself with complex issues within a very short time and to convey these in a correspondingly comprehensible manner.
Since the beginning of 2018, he has already supported more than 70 students in various projects and supervised them, among other things, in conducting studies, statistical analyses in R and Python and in the interpretation of research results.
- Expertise: Economics, Data Science, Project Management, Inductive/ Descriptive Statistics, Big Data Analysis, (Sales)Marketing
- Teaching experience: 2 years of private tuition with over 70 Bachelor's/Master's students and doctoral candidates
- Research experience in the field: deep learning, big data, artificial intelligence, machine learning
- Programming and scripting languages: Python, R, JavaScript, SQL, HTML/CSS
- Tools, libraries, and software: Stata/ SPSS, Tableau Desktop/Server, Microsoft Power BI