You will get a PDF/OCR data extraction workflow with QA checks
Project details
You will get a practical PDF/OCR data-extraction workflow that turns messy PDFs, scans, forms, catalogs, or semi-structured files into clean Excel, CSV, or JSON outputs.
This is not just raw OCR. The workflow is designed around structured fields, validation checks, review flags for uncertain cases, and traceability back to source files or pages where feasible.
I work across Python automation, ETL, document processing, and QA-oriented data workflows. The goal is to give you outputs that are usable, inspectable, and maintainable, not a fragile demo that only works on one perfect sample.
Depending on the selected package, I can deliver a sample extraction, a validated workflow for an agreed batch, or a reusable pipeline with handoff notes and QA documentation.
This is not just raw OCR. The workflow is designed around structured fields, validation checks, review flags for uncertain cases, and traceability back to source files or pages where feasible.
I work across Python automation, ETL, document processing, and QA-oriented data workflows. The goal is to give you outputs that are usable, inspectable, and maintainable, not a fragile demo that only works on one perfect sample.
Depending on the selected package, I can deliver a sample extraction, a validated workflow for an agreed batch, or a reusable pipeline with handoff notes and QA documentation.
Data Tool
PythonWhat's included
| Service Tiers |
Starter
$150
|
Standard
$300
|
Advanced
$750
|
|---|---|---|---|
| Delivery Time | 3 days | 7 days | 14 days |
Number of Pages Mined/Scraped | 20 | 100 | 250 |
Number of Sources Mined/Scraped | 1 | 0 | 3 |
Number of Revisions | 1 | 2 | 2 |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$100 - $400
Additional Page Mined/Scraped
(+ 1 Day)
+$5
Additional Source Mined/Scraped
(+ 3 Days)
+$100
Additional Revision
+$100Frequently asked questions
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Juan was incredibly professional and pick up the scope of the project very quickly. He understood the business case and helped develop the R shiny app with perfection. He have fantastic customer service skills and was extremely patient and polite. I would recommend his service and would also work with him in the future. Thanks again Juan!
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Jan-Erik T.
Feb 10, 2020
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Juan is very talented and was a huge help. Overall great experience.
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Ulrich Z.
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thank you
About Juan Luis
Senior Data Scientist | Python/R, ML, ETL, Automation & Generative AI
Vigo, Spain - 3:25 pm local time
I help clients turn messy data, documents, and business workflows into reliable analyses, machine learning models, automated reports, and maintainable data systems.
I am a senior data scientist with strong experience across Python, R, SQL, ETL, statistical analysis, applied machine learning, web/data extraction, reporting automation, and reproducible workflows. My work is strongest when clients need both technical implementation and analytical judgment: clean data pipelines, robust analysis, validated outputs, and results that can be trusted in real decisions.
I also bring formal IBM and Google training in Generative AI Engineering, RAG, agentic AI, AI development, LangChain/LangGraph-style workflows, tool/API integration, prompting, and responsible AI use. I use these skills pragmatically: not as a replacement for good data work, but as an additional layer when AI can improve extraction, review, search, automation, or decision support.
Relevant proof:
• 38 Upwork jobs and 2,300+ hours delivered
• Long-running automation, scraping, R/Shiny, ETL, reporting, and data workflow projects
• IBM AI Engineering Professional Certificate
• IBM Generative AI Engineering Professional Certificate
• IBM RAG and Agentic AI Professional Certificate
• IBM Deep Learning with PyTorch, Keras and Tensorflow Professional Certificate
• IBM AI Developer Professional Certificate
• Google AI Professional Certificate
• Strong Python, R, SQL, AWS, Docker, machine learning, and data engineering background
• Public portfolio examples in PDF/OCR extraction, DOCX standardization, review packets, validation workflows, and structured exports
• Consistent focus on QA, reproducibility, documentation, and maintainable handover
What I can help with:
• Data cleaning, ETL, and workflow automation
• Exploratory data analysis and statistical reporting
• Machine learning and predictive modeling
• R/Python analysis pipelines
• Survey, research, and business analytics workflows
• Automated reports in Excel, PDF, HTML, Quarto, R Markdown, or dashboards
• Web scraping and structured data extraction
• PDF/OCR and document-to-table workflows
• AI-assisted document processing
• RAG and LLM-assisted workflow automation
• Agentic AI prototypes and multi-step AI workflows
• Geospatial and research data pipelines, when relevant
For data science projects, I focus on more than producing a model or chart. I care about data quality, assumptions, validation, reproducibility, documentation, and whether the final output is useful for decision-making.
For automation and AI-assisted workflows, I do not treat AI as a black box. I design workflows with structured outputs, validation checks, confidence flags, rejected-row handling, source evidence, review packets, logs, and maintainable handover.
Clients usually hire me when they need a reliable data scientist who can handle messy real-world inputs, build clean analytical workflows, automate repetitive processes, and deliver outputs that are practical, documented, and ready to use.
Steps for completing your project
After purchasing the project, send requirements so Juan Luis can start the project.
Delivery time starts when Juan Luis receives requirements from you.
Juan Luis works on your project following the steps below.
Revisions may occur after the delivery date.
Requirements and sample files
You send sample PDFs, target fields, preferred output format, and any known rules or examples.
Scope and structure review
I review the files, confirm assumptions, identify layout risks, and define the extraction structure.