Experience

Working student, data science & project management Now

• Support two teams in sales steering: Sales Academy, and Sales Steering & Analytics
• Help build a data landscape and Power BI dashboards for data-driven decisions
• Run the mailbox for questions about the sales-steering dashboard landscape
• Ad-hoc descriptive analyses

Working student, insights

• Designed, ran and presented studies for different stakeholders on my own
• Compared leading Swiss market research institutes, focusing on online panels
• Supported projects such as testing prototypes of new UX/UI features
• Manually coded customer feedback and compared it with automatic coding using BERTopic

Freelancer, on call

• Continued market research work on demand after the internship

Intern, market research

• Supported project leads in delivering client projects
• Prepared, analysed and visualised key figures
• Built, analysed and presented questionnaires
• Documented qualitative interviews and created user journeys

Aircraft cabin cleaner (temporary)

• Cleaned long-haul aircraft interiors in the short window between landing and boarding
• Rotated between aircraft in a small team, covering waste, galley, floors and more

M.Sc. Applied Information and Data Science Now

• Part-time programme, graduating December 2026
• Thesis: Leveraging double machine learning for robust decision-making (supervisor: Dr. Claude Renaux)
• Preliminary study graded 6

M.Sc. Psychology

• Average grade 5.6
• Thesis on the neuronal basis of learning in young people with psychiatric disorders, graded 6

B.Sc. Psychology

• Average grade 5.5
• Minor in film studies
• Thesis on machine learning for Alzheimer's classification, graded 6

Leveraging double machine learning for robust decision-making

Supervised by Dr. Claude Renaux

Investigating the neuronal basis of learning processes and memory formation in children and adolescents with various psychiatric disorders

Supervised by Prof. Dr. Nicolas Langer, M.Sc. Dawid Strzelczyk

Comparison between support vector machine and convolutional neural network for Alzheimer's disease classification

Supervised by Prof. Dr. Nicolas Langer

Advanced Learning Algorithms

Supervised Machine Learning: Regression and Classification