Owen Craik

Data scientist and statistician (RSS GradStat) with an MSc in Applied Statistics and Data Science (Distinction) and 10+ years of experience applying quantitative thinking in education and research. Experienced in statistical modelling, machine learning and data analysis across academic and applied contexts.

Data Science Intern - Serasa Experian - São Paulo, Brazil

(2026-03 - 2026-07)

• Built a Python pipeline using Landsat and MapBiomas satellite data to classify land cover and track coffee phenology across the Caconde region.
• Trained and evaluated Random Forest and XGBoost models, achieving in most models over 90% accuracy in identifying distinct land classes and crop growth stages.
• Delivered a hierarchical spatial classification map as a feasibility assessment for scaling automated regional agricultural monitoring.

Advanced Statistics, Data Science and Mathematics Teacher - Avenues Sao Paulo - Sao Paulo, Brazil

(2021-07 - 2026-07)

• Designed and delivered a Data Science elective covering exploratory analysis, statistical modelling, and machine learning to 40+ students across three cohorts
• Mentored student projects on topics including music recommendation systems, city-ranking algorithms and clustering algorithms applied to skin-tone representation in the media.
• Collaborated with a local university to build a data-driven recruitment model for a bootcamp.
• Coordinated industry engagement with Experian, where students analysed a structured problem and proposed data-informed solutions

AP Statistics & Mathematics Teacher - Colegio Panamericano - Bucaramanga, Colombia

(2017-08 - 2021-06)

• Designed and launched a new AP Statistics programme, teaching statistical inference, probability, regression, and data analysis using inquiry-led methods, with students achieving results above national averages.
• Developed applied modelling projects including athlete recruitment optimisation and media misinformation analysis, emphasising problem formulation and interpretation of results
• Led interdisciplinary, data-driven projects (e.g. population growth and resource forecasting in a simulated Mars colonisation scenario)

MSc in Applied Statistics with Data Science with Distinction - Applied Statistics with Data Science - University of Strathclyde (2022 - 2025)

BSc Honours in Mathematics - Mathematics - University of Sheffield (2010 - 2014)

Post Graduate Diploma in Education (PGDE) in Mathematics - Mathematics - University of Sheffield