Operational data engineering
Incremental pipelines, late-data recovery, historical backfills, source-to-target reconciliation and safe reruns built for daily operations.
Applied data science & AI
Complex data.
Clearer decisions.
From energy reliability to broadband investment and financial insight, AP Analytics turns complex data into models, systems and decisions you can trust.
Energy. Infrastructure. Finance. Industry.
Applied science, built for the decisions that matter.Selected organizations
Experience across organizations that shape everyday life.
Consulting engagement
AHSIP project work
Financial analytics engagement
BallardBC Hydro consulting; Infrastructure Ontario AHSIP and G&F Financial Group projects through Theory and Practice. Ballard Power Systems represents employment experience.
What the work demands
From raw records to decisions people can defend.
Good models depend on the hard work around them: ingestion, data quality, recovery, domain logic and a clear path from result to action.
Applied ML & AI
Anomaly detection, forecasting, failure prediction, segmentation and retrieval systems designed around real operational constraints.
Decision intelligence
Probabilistic simulation, geospatial scoring and business intelligence that make complex systems understandable and auditable.
Project focus · AHSIP
Turning province-wide spatial data into defensible broadband bidding lots.
For Infrastructure Ontario’s Accelerated High-Speed Internet Program, the work transformed fragmented government and connectivity data into a PostGIS analytical foundation for scoring hexagonal areas and designing balanced reverse-auction lots.
Read the AHSIP project storyA difficult data problem?
Bring the messy version.
The useful work usually starts where standard pipelines, clean datasets and textbook assumptions stop.
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