Samuel Anwo

Data Scientist (Applied Data Science) @OCAS

Guelph, ON, CA

Applied large language models (LLMs) to analyze open-text survey data, surfacing key themes and sentiments; built dynamic Power BI dashboards adopted by leadership for strategic planning.• Developed time series forecasting models to predict college application volumes, enabling proactive budget planning, staffing allocation, and financial strategy ahead of the academic cycle.• Built an interpretable model using SHAP and Explainable Boosting Machine (EBM) to forecast program closures across Ontario colleges, uncovering key drivers of enrollment decline and enabling early intervention for strategic planning.• Led development of churn prediction models for unpaid domestic applicants across the application lifecycle, identifying key drop-off points and informing targeted marketing strategies that increased application fee revenue• Automated survey processes using SurveyMonkey API, built dynamic dashboards in Power BI, and partnered with cross-functional teams to run A/B tests and troubleshoot data quality issues—boosting operational efficiency by 25% and improving trust in analytics across departments.

Redeemers University, Ede

Bachelor of Science

University of Regina

Master of Science - MS