Mine Operations and Production
Production, shift, material movement, and plan-versus-actual reporting that helps make daily performance visible.
Mining operations generate valuable information every day—from production and equipment performance to fuel consumption, maintenance, ore movement, and plant output. I help mining businesses turn this information into organized data, automated reporting, useful dashboards, and practical decision-support tools.
Independent Mining Technology & Data Analytics Consultant
My mining engineering education helps me understand operational terminology, production workflows, equipment metrics, and the practical questions behind mining data.
My software and analytics experience helps me build tools to organize, process, analyze, visualize, and report that information. Bringing domain understanding together with technical implementation can make a reporting solution more relevant to the people who use it.
Learn About My BackgroundPut production, equipment, material movement, and plant data in operational context.
Review current spreadsheets, databases, and processes to identify a practical approach.
Develop reporting, automation, database, or analytics solutions shaped around the agreed need.
My education and domain knowledge span mining operations. I can help make operational information easier to organize and interpret; regulated engineering decisions stay with qualified and authorized site personnel.
Production, shift, material movement, and plan-versus-actual reporting that helps make daily performance visible.
Availability, utilization, downtime, operating hours, fuel, and maintenance trend analysis using suitable records.
Track drilling productivity, authorized blast records, crusher throughput, and reported downtime.
Organize plant output, throughput, recovery, and quality measures where process data is available.
Reporting around quantities, source-to-destination movement, ore and waste, and reconciliation.
Present schedule-versus-actual, productivity, stripping ratios, and operational cost information clearly.
I can work with your current files and systems, then recommend a suitable next step based on the problem, data, access, and technical requirements.
Bring production, maintenance, equipment, and plant KPIs together for clearer operational visibility.
Reduce repetitive reporting effort with tools for importing, checking, calculating, and summarizing data.
Structure operational records with Access or SQL Server and consolidate suitable existing sources.
Analyze availability, utilization, downtime, fuel, operating hours, production, and material movement.
Apply data processing, reconciliation, and analysis to tasks where Python is a practical fit.
Connect supported data sources and automate repeatable workflows using suitable tools or APIs.
These are possible solution concepts, not completed client projects. The right scope depends on your requirements and available data.
Combine shift or daily records into production, material movement, and plan-versus-actual views.
Example solutionSummarize operating hours, delays, availability, and utilization from equipment records.
Example solutionCompare fuel use with operating hours or production where complete, consistent data is available.
Example solutionPresent throughput, stoppages, and relevant plant output measures from recorded data.
Example solutionCompare movements and quality records using available sampling and laboratory information.
Example solutionTransform validated shift entries into consistent daily summaries and management reports.
Example solutionOther possible concepts include drilling and blasting performance tracking, breakdown analysis, production plan versus actual reporting, and mine operations data consolidation.
Discuss your challenge with the person who will develop the solution.
Build around existing spreadsheets, databases, and reporting processes where practical.
Begin with a small, agreed scope and consider next steps after reviewing the result.
I do not provide statutory engineering approvals, mine-safety certification, blasting approvals, or regulated mine-site services.
Scope, timeline, access requirements, and deliverables are agreed before development begins.
Discuss the operation, business problem, existing data, and desired outcome.
Review suitable sample files, data quality, reporting processes, and technical requirements.
Build and test an appropriate reporting, automation, database, or analytics solution.
Review the result together, address feedback, and document the agreed solution.
Whether you need to automate a repetitive report, consolidate scattered operational data, or develop a dashboard for better visibility, let's discuss a practical solution for your operation.