About Me
As an Information Science student with experience in retail, I possess a strong analytical skillset and a customer-centric approach. My studies have equipped me to effectively analyze and interpret large datasets, identify key insights, and develop data-driven solutions. I am proficient in data visualization, enabling me to communicate complex information clearly and concisely. Furthermore, my retail experience has honed my teamwork and problem-solving abilities, allowing me to understand and address customer needs effectively.
Education
MSc Information Studies, Data Science track
BSc Information Science
VWO Atheneum
Work Experience
Teaching Assistant
Store Employee
Projects
Predictive Analysis in Rocket League
Conducted a study on predictive analysis in Rocket League, comparing various machine learning techniques and their predictive power.
League of Legends Match Prediction
Developed machine learning models to predict match winners, game length, and total kills in League of Legends matches using game data and various ML algorithms.
Interests & Hobbies
In my free time, I enjoy gaming, staying active at the gym, occasionally having drinks with friends, and sometimes making short coding challenges to keep my skills sharp. It's a great mix of fun, fitness, and creativity.