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A-02 EIA Data Analyst
Lab PDFs in, traceable compliance conclusions out
One environmental impact assessment project involves test reports from several periods, sites and labs. The AI employee is embedded in the project flow and takes over recognition, statistics and comparison, leaving people only the final professional ruling.
- Position
- Environmental Assessment Data AI Analyst
- Industry
- Environmental assessment · Consulting
- Deployment
- Embedded
Performance
- Of data preparation per project handed to the machine
- ≈1 day
- Of watermarked, non-standard or image-based PDFs per project
- 200 pages
- Of values traceable to the source file and page
- 100%
This job, before and now
Before: done by people
- Opening PDFs page by page and reading numbers through watermarks to key them in by hand
- Building tables by hand and calculating maximums and minimums by monitoring point and factor
- Checking national standards again and again, comparing item by item hundreds of times
- One wrong number can skew the compliance conclusion, and review means starting over
Now: AI employee
- A vision model reads non-standard PDFs and extracts time, point, factor and value
- Deterministic rules handle classification, point normalization and extreme-value calculation
- Results are compared with national standards automatically, and anomalies stop for human judgment
- Outputs Word reports and summary tables, and turns the data into a company asset
Workflow
- 1
Multi-lab PDFs
Wastewater / exhaust gas / noise / solid waste
- 2
OCR + extraction
Samples, factors, periods, test values
- 3
Statistics and validation
Extremes, averages, regulatory thresholds
- 4
Deliverables
Word report / summary tables / evidence chain
It runs as a node in the project management system: the model reads, deterministic code calculates, and the engineer makes the final call.
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