project-controls

Parse the contents of a P6 .xer file into a Python object

Open-source, dependency-driven scheduling and project controls engine for Microsoft Excel.

Project scheduling and earned value control for Python: CPM, PERT with Monte Carlo schedule risk, minimum-cost crashing, EVM and earned schedule. Validated against published reference values.

Instant Plan vs. Actual S-Curve generator from Primavera P6 XML exports. No installation or Excel required.

Weekly Plan vs Actual dashboard for engineering/construction projects. Power BI (DAX/modeling), variance hotspots and a simple pace index. Demo data included.

Production Python patterns for construction project tracking & change order automation — document parsing, WBS/data taxonomy, and Primavera P6 / MS Project schedule sync.

End-to-end residential construction estimating workflow including quantity takeoff, BOQ, contractor pricing, cost-loaded scheduling, Earned Value Management (EVM), commercial reporting, and project controls.

Standalone infrastructure mapping and digital transformation roadmap tool

MeridianIQ - The intelligence standard for project schedules. Open-source schedule intelligence from validation to prediction

Project-controls assurance engine for P6, cost, change, and risk data with reproducible evidence.

Phase-gated capital-program-controls dashboard — 20 derived KPIs across cost, schedule, risk, change, delivery & compliance, each with formula, threshold, and playbook. Zero dependencies, 1,846 tests, dual-stack (JS + SQL) parity proof.

Personal portfolio for construction project controls analytics, BI, and responsible AI leadership.

XERlock - self-hosted, read-only Primavera P6 .xer Detective. When a P6 license is not available but you still want to go beyond PDFs and analyze a schedule from XER. Interactive Gantt, critical-path network, DCMA-14 health checks, activity chain tracing, snapshot comparisons, etc.

Construction Project Coordination Platform

This project aims to assess construction cost at completion, known as EAC, using artificial intelligence to take into account past data and provide accurate estimations

Evidence-bound project controls and data systems for traceable, reproducible decisions.

TerraCast developed TerraCast, a machine‑learning based forecasting approach that combines data quality checks, classification, and regression models to predict schedule delay risk and likely lateness across energy projects, supported by dashboard‑ready outputs.

FutureFlo delivered FutureFlo, a data‑quality‑led schedule forecasting solution that combines structured data cleansing, feature analysis and Power BI visualisation to highlight drivers of project slippage and forecast future delivery risk.

PRISM (Planning Risk Insight and Scheduling Monitor) is a working behavioural analytics solution that exposes risky resource and forecasting practices across portfolios. Built for Challenge 5, it provides persona‑specific dashboards for planners, resource managers, project managers, and senior leaders, analysing utilisation, forecast accuracy,...

Construction workflow analytics case study covering RFIs, change orders, cycle time, bottlenecks, commercial exposure, SQL, Python, Excel, Power BI, and Tableau.