Summary
Liban Osman is a data engineer based in Toronto with eight years of experience turning messy data into operational insights across retail, healthcare and insurance. He has built production ETL pipelines in BigQuery, deployed NLP models to classify unstructured survey and review text, and automated reporting to accelerate decision-making at companies like Loblaw and Jane.com. Comfortable across analytics and engineering, he has migrated dashboards, reduced operational downtime with alerting scripts, and applied WoE and time-series methods to explain turnover and forecast KPIs. Currently at Neighbourly Pharmacy after a stint as a data analyst at Canada Life, he blends a University of Waterloo statistics background with a practical focus on making data products that scale. An early adopter of digital-first workflows, he combines model-building instincts with hands-on automation to move experiments into repeatable production.
8 years of coding experience
2 years of employment as a software developer
Bachelor of Mathematics - BMath, Statistics, Bachelor of Mathematics - BMath, Statistics at University of Waterloo