Mining Drill Data Optimization

I have a growing archive of drill-hole and operational logs from our mining sites and I want a specialist to turn those raw tables and sensor feeds into clear, actionable insights that help us streamline day-to-day operations. The core focus is optimisation: I’m less interested in historical “what happened” reports and far more interested in seeing where we can tighten cycle times, cut idle hours, and schedule maintenance before downtime strikes.

You’ll start by cleaning and structuring the datasets (CSV exports from fleet management systems, time-series from pressure and torque sensors, and geology logs). From there, I expect a blend of descriptive summaries to frame the current state, followed quickly by predictive or prescriptive modelling that pinpoints concrete opportunities to boost throughput and reduce costs.

Key deliverables:
• A well-documented data pipeline or notebook (Python, R, or SQL) that ingests the raw files and outputs repeatable analyses
• Visual dashboards (Tableau, Power BI, or similar) highlighting KPIs, bottlenecks, and recommended process adjustments
• A brief report translating the numbers into operational recommendations my field supervisors can act on tomorrow

Your work will be accepted once the pipeline runs end-to-end on a fresh dataset, the dashboards refresh without manual intervention, and the report clearly shows at least three actionable optimization wins backed by data. If you have prior experience with mining telemetry or drill-rig data, please flag it—I value domain familiarity.