Environmental + Data Intelligence
Environmental Data Analyst. I turn complex industrial monitoring data into decisions that hold up to audit, specializing in metrology, oil & gas analytics, and geospatial intelligence.
Currently building: OGE-01 Produced-Water Analytics (In Progress)
Data · Seed 42 · Source CSV · sha256 3f9a…c1d2
Problem: High variance in effluent quality masking treatment performance.
Method: Kaplan-Meier / ROS for left-censored data; stage-wise efficiency.
Result: Data pipeline complete — awaiting final evaluation.
data: synthetic · n=240 · seed=42 Follow progress →Problem: Unreliable source prioritization due to sensor drift.
Method: CUSUM control charts; Moran's I spatial clustering; uncertainty-weighted ranking.
Result: Methodology defined, notebook pending.
data: synthetic · n=120 · seed=42 View methodology →Problem: Lack of spatial risk context for emergency response planning.
Method: Combine OSM pipeline data with GIS proximity and sensitivity indices.
Result: Methodology defined, GIS processing pending.
data: public (OSM) + synthetic risk indices View methodology →Establish data reliability before analysis.
Identify missing values, measurement anomalies, sensor drift, reporting limits, and data-quality issues.
Applied in: OGE-01Understand the reliability of measured results.
Apply GUM principles, statistical modelling, and uncertainty propagation to quantify confidence in analytical results.
Applied in: OGE-01Translate analytical evidence into operational insight.
Identify abnormal conditions, prioritize environmental risks, evaluate decision thresholds, and communicate actionable findings.
Applied in: OGE-01