EkoSuryahadi
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AI & MLEPCLIVE

EPC Delay Predictor

Flags schedule slippage risk earlier than standard project reports so EPC teams can act before delays harden into cost exposure.

Designed for earlier intervention in schedule reviews, contractor follow-up, and management escalation.

PythonXGBoostPandasStreamlit

The Challenge

EPC teams often see schedule risk after it has already affected procurement, construction sequencing, or contractor coordination.

The Solution

Built a predictive workflow that reads project-control indicators, scores delay risk, and explains the drivers in plain project language.

Key Features

  • Delay risk scoring
  • Critical driver explanation
  • Project filter views
  • Executive-ready summary cards

Business Impact

  • Surfaces projects that need earlier management attention
  • Supports clearer risk prioritisation in project-control meetings
  • Reduces dependence on fragmented Excel tracking

Lessons Learned

  • Prediction needs trust, so explanations matter as much as accuracy.
  • Project-control users need simple risk language, not model jargon.

Project Proof

Designed placeholder for architecture and evidence.

Real screenshots can be added later. For now, this proof layer documents the workflow, stack shape, and delivery logic behind the case study without inventing unavailable assets.

Architecture Summary

Built a predictive workflow that reads project-control indicators, scores delay risk, and explains the drivers in plain project language.

Workflow

01

Frame the operational question

02

Prepare and validate source data

03

Delay risk scoring

04

Surfaces projects that need earlier management attention

Stack Grouping

BI & Analytics

Streamlit

Data & ML

PythonXGBoostPandas

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