Applied Statistics for Data Science

Emily Ekdahl is a machine learning engineer at Vouch, an InsureTech company, with previous experience working as a full stack engineer, data engineer, and machine learning engineer. In these roles she has developed a wide range data solutions across the stack including data pipelines, data models, machine learning solutions, and data visualizations to drive actionable insights for businesses. She holds a Masters in Clinical Psychology and learned to love applied statistics as a research assistant.

Musab Khawaja is a versatile data scientist and machine learning engineer with a diverse background in multiple industries. As a Senior Data Scientist at Depop, he models the impact of performance marketing for the MarTech team. Additionally, Musab has held positions as a Senior Machine Learning Engineer at ARRIVAL, where he automated engineering workflows, and as a Deep Learning Engineer at MathWorks, where he developed a worldwide marketing strategy to engage with academia on deep learning in MATLAB and collaborated with researchers and students to adopt deep learning-based techniques. Musab holds a BS, MS, and PhD in Physics from Imperial College London.