A specialist approach to data

MG Data Analytics is an independent data analytics practice based in North York, Ontario, working remotely with clients across the province.

The practice is built on a PhD in Statistics and over seven years of applied data work. Many providers can build a dashboard. Fewer can tell you whether the underlying model is sound, whether your sample supports the conclusion you want to draw, or which method actually fits your data. That distinction is where this practice operates.

Selected work

Donor segmentation and retention modeling - nonprofit sector
Segmented 10,000+ donor records using RFM feature engineering and K-means clustering, then built ensemble models to predict donation recurrence at 82% accuracy. Delivered a Power BI dashboard for stakeholder review, with segment findings used to shape retention strategy.

Statistical process control - manufacturing
Applied control charts and variance decomposition to isolate sources of process variation on a production line, and developed predictive models to improve stability. Results included an 8% reduction in defects and a 5% reduction in output variability.

Large-scale survey design and analysis - public sector
Led six survey projects covering 10,000+ households to develop economic accounts supporting government policy planning. Managed validation and analysis of 40,000+ data points, improving collection efficiency by 15% through instrument and process refinements.