Narciso M. DicksonProject leadership + controls analytics + responsible AI
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Construction Project Leadership · Project Controls · Data Analytics · Responsible AI

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.

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PMP®MS Project ManagementFounder, In Project LLC

Track record
15+Years leading projects
$30M+Portfolio managed
20+Projects per year
3Published case studies
See how the numbers were produced

Experience

Construction Leadership and Project Controls Experience

Founder & Senior Construction Project Manager

January 2022 – Present

In Project LLC — Lehi, Utah

  • Provide construction project management consulting on a project-controls foundation, giving owners and teams control and clarity across residential, commercial, and renovation projects
  • Control the full project lifecycle from concept through closeout, integrating scope, budget, schedule, procurement, contracts, change orders, RFIs, risk, and quality
  • 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

Senior Program Manager · Project Manager

2011 – 2022

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

  • Managed a $30M+ portfolio of residential, commercial, and renovation construction and design projects
  • Coordinated 15+ multidisciplinary teams across 20+ annual projects
  • Directed procurement and negotiated contractor agreements, reducing project expenses by 25%
  • Improved preparation efficiency by 25% through standardized frameworks and scheduling

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.

Full Résumé

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.

View Case StudyView GitHubDownload Report
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.

View Case StudyView GitHubDownload Report
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.

View Case StudyView GitHubDownload Report
See the full Portfolio

About

Clarity and control, from concept to closeout.

Narciso M. Dickson, construction project management and analytics professional

Narciso M. Dickson, MS, PMP®, is a construction project and program manager with 15+ years delivering residential, commercial, and renovation projects across multimillion-dollar portfolios. 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.

About and Capabilities
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.

Visit In ProjectExplore In Project AI

Contact

Let's build better project decisions.

Open to construction project and program management, project controls, construction analytics, and consulting work.

  • Based inLehi, Utah, United States
  • Open toUtah-based and remote
  • LanguagesEnglish and Spanish

Email

ndickson@inprojectmanagement.com
Email Narciso

Elsewhere

LinkedIn in/narcisodicksonGitHub ND3404Résumé One page, PDF