Construction project leadership · Project controls · Data analytics

Construction Project Leadership Informed by Data

I combine 15+ years of construction project and program leadership with project controls, data analytics, dashboards, predictive modeling, and responsible AI governance to improve visibility, prioritize risk, and support better project decisions.

15+ YearsPMP®MS Project ManagementFounder, In Project LLC

Experience

Construction Leadership and Project Controls Experience

Founder & Construction Project Management Consultant

January 2022 – Present

In Project LLC — Lehi, Utah

  • Lead construction project planning and controls across multiple concurrent assignments, integrating scope, budget, schedule, procurement, risk, change management, reporting, and closeout
  • Develop project-control frameworks, KPI reporting, risk registers, change-control workflows, and owner-ready dashboards to improve visibility and accountability
  • Build Excel and Power BI dashboards for cost, schedule, risk, change orders, RFIs, and executive project reporting
  • Coordinate stakeholders, vendors, consultants, and project teams while supporting procurement, contract negotiations, invoices, changes, and project governance

Project/Program Manager

2011 – 2021

PUBLINTER, Arq. y Sup. SRL — Santiago, Dominican Republic

  • Managed construction and design portfolios exceeding $30 million
  • Coordinated 15+ multidisciplinary teams across 20+ annual projects
  • Improved preparation efficiency by 25% through standardized frameworks and scheduling
  • Increased stakeholder satisfaction by 30% through clear reporting and progress tracking

Earlier Commercial and Client Leadership

2003 – 2010

McGraw-Hill · Grupo SM · Grupo Santillana — Santiago, Dominican Republic

Consultative client leadership that established the executive communication, negotiation, and stakeholder skills later applied to construction delivery. These were commercial roles, not construction roles.

Portfolio

Construction analytics, from measurement to prediction.

Each case study publishes its data, SQL, Python, dashboards and full report on GitHub.

Executive dashboard showing portfolio health, forecast overrun by project type, cost and schedule efficiency, and the top-10 review list
Complete and PublicSynthetic data

Construction Project Controls Analytics

Early Warning Analysis for Cost and Schedule Performance

Descriptive and early-warning analytics

Project teams often detect cost and schedule stress after intervention options have narrowed. This case study tests which controls metrics move early enough to support management action.

75 synthetic projects · $5.83B portfolio · 2022–2025

75 synthetic projects$5.83B portfolio BAC13.0% forecast overrunWeighted CPI 0.884Average delay 33.7 days50 Red, 13 Yellow, 12 Green

All project, client, cost, schedule, RFI, and change-order data in this case study is synthetic and does not represent actual client performance or confidential records.

Executive dashboard showing RFI response performance, commercial exposure by change category, workflow health, and the projects needing attention
Complete and PublicSynthetic data

Construction Change Order and RFI Analytics

Root-Cause, Cycle-Time, and Impact Analysis for Construction Decision Workflows

Diagnostic workflow analytics

Change orders and RFIs move through many reviews, handoffs, and approvals. This case study identifies where cycle time, aging, backlog, and handoff patterns create cost and schedule exposure.

90 synthetic projects · 3,318 RFIs · 1,119 change orders · 2022–2025

90 synthetic projects3,318 RFI records1,119 change orders12.21-day average RFI response$204.57M approved change value29 Red, 48 Yellow, 13 GreenPearson r = 0.817 tested relationship

All projects, organizations, people, budgets, schedules, RFIs, change orders, workflow events, and performance records in this case study are synthetic and must not be represented as actual client, company, or industry-benchmark information.

Executive model dashboard showing predicted risk bands, champion model performance, and the highest predicted-risk projects
Complete and PublicSynthetic data

Predictive Construction Project Overrun Model

Early-Warning Classification and Regression for Cost Overruns and Schedule Delays

Predictive early-warning modeling

Cost and schedule outcomes are usually confirmed too late to change them. This case study tests which early and mid-project controls and workflow indicators predict material overruns and delays while intervention is still possible.

2,362 clean modeling projects · 40 predictors · 2019–2025

2,362 clean modeling projects40 predictorsTime-based 2019–2025 splitCost ROC-AUC 0.899, PR-AUC 0.774Schedule ROC-AUC 0.756, PR-AUC 0.524188 Red, 138 Yellow, 110 GreenHuman review required before action

All projects, organizations, budgets, schedules, workflow records, and outcomes in this case study are synthetic. Model results are portfolio demonstrations, not industry benchmarks.

About

Construction delivery first, analytics second.

Narciso M. Dickson, construction project management and analytics professional

Narciso M. Dickson, MS, PMP®, is a construction project/program management and project-controls professional with 15+ years leading construction, design, and consulting work. As the founder of In Project LLC, he combines that construction leadership foundation with Excel, Power BI, SQL, Python, construction analytics, predictive modeling, and responsible AI governance to improve project visibility and support timely, evidence-based decisions.

The portfolio follows the same progression: what the numbers say, why the workflow produces them, and whether the outcome can be seen early enough to act. AI should strengthen professional judgment, not replace it.

In Project AI

Founder

In Project LLC

Narciso founded In Project LLC, a construction project-management practice covering project controls, analytics, dashboards, and reporting workflows. In Project AI supports AI-enabled document intelligence, risk visibility, forecasts, and management reporting.

AI outputs require qualified professional review and human accountability before contractual, engineering, financial, or project decisions.

Contact

Let's build better project decisions.

Open to construction project/program management, project controls, construction analytics, and consulting opportunities. Based in Lehi, Utah, with interest in Utah-based and remote roles.

ndickson@inprojectmanagement.com