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.
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Jun 22, 2026 - Python
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.
Weekly Plan vs Actual dashboard for engineering/construction projects. Power BI (DAX/modeling), variance hotspots and a simple pace index. Demo data included.
MCP server exposing pmcontrols (CPM, PERT, crashing, EVM, earned schedule) as validated tools for AI agents.
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5-stage pandas pipeline analysing 1,300 construction tasks across a $64.4M portfolio — risk scoring, EVM, critical path flagging & automated reporting
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A single-file EVM calculator for tracking project cost and schedule performance, with forecasting, plain-English insights, and a built-in worked example.
15 interactive project management charts built as a reference library, hosted on GitHub Pages.
MS Project-based academic project focused on planning, scheduling, cost control, and risk management for a drone-powered emergency medical delivery system.
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Python tool for Earned Value Management (EVM) analysis on infrastructure projects — CPI, SPI, EAC calculations with automated dashboard output
RiskPulse — AI-Driven Project Risk Manager A PMP-aligned web application for quantitative project risk analysis. RiskPulse utilizes Beta-PERT Monte Carlo simulations, Critical Path Method (CPM) scheduling, and Earned Value Management (EVM) to proactively identify bottlenecks, slippage, and resource contention in real-time.
A bilingual web app for real-time project performance analysis and forecasting — built to support project managers and stakeholders with visually intuitive metrics, AI-driven reporting, and printable summaries.
The Defense Contract Management Agency (DCMA) is the Department of Defense component that works directly with defense suppliers to help ensure that DoD, federal, and allied government supplies and services are delivered on time, at projected cost, and meet performance requirements.
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