Expertise
Digital Project Controls
Automation and data engineering that turn schedule quality into a standard.
Manual controls do not scale. Across many contractors and tens of thousands of activities, consistency is only possible when the checks themselves become code — and when data, not opinion, drives the conversation about quality.
How I approach it
I build automated, rules-based assurance: Python reading the P6 export, applying the DCMA 14-point checks plus bespoke Employer rules — more than ninety on one programme — scoring every schedule the same way, every cycle. Power BI turns the same controls data into live management intelligence, so leadership sees trend and exposure rather than raw tables. On a major programme this lifted contractor schedule quality from around 25% to over 83%, and held it there. Automation raises the floor; expert judgement is freed for what rules cannot catch.