You will get AI-powered data extraction from PDFs and messy spreadsheets
Project details
Got messy reports, inconsistent spreadsheets, or unstructured PDFs that need clean, usable data? I build AI-powered pipelines that extract, validate, and transform your data automatically — using Claude API + Python for intelligent ingestion that actually understands your documents, not just pattern-matches them.
What I build:
• PDF/Excel/CSV Ingestion — pull tables, text, and structured data from any document format
• AI-Powered Cleaning — detect anomalies, fix inconsistencies, standardize formats using LLM intelligence
• Report Parsing — convert complex business reports into clean databases or spreadsheets
• Automated Pipelines — schedule recurring ingestion so new reports are processed automatically
Real proof: I built a pipeline processing 1M+ records/day from mixed-format sources, cutting a 10-person team's manual workload by 70%.
Stack: Python, Claude API, pandas, openpyxl, pdfplumber, PostgreSQL, SQL.
Every delivery includes clean source code, documentation, and a test suite you can actually run. Send me a sample file and I'll tell you exactly what I can automate.
What I build:
• PDF/Excel/CSV Ingestion — pull tables, text, and structured data from any document format
• AI-Powered Cleaning — detect anomalies, fix inconsistencies, standardize formats using LLM intelligence
• Report Parsing — convert complex business reports into clean databases or spreadsheets
• Automated Pipelines — schedule recurring ingestion so new reports are processed automatically
Real proof: I built a pipeline processing 1M+ records/day from mixed-format sources, cutting a 10-person team's manual workload by 70%.
Stack: Python, Claude API, pandas, openpyxl, pdfplumber, PostgreSQL, SQL.
Every delivery includes clean source code, documentation, and a test suite you can actually run. Send me a sample file and I'll tell you exactly what I can automate.
AI Algorithms
Large Language Model, Multimodal Large Language Model, Transformer ModelAI Applications
Anomaly Detection, Natural Language Generation, Natural Language Understanding, Text RecognitionAI Development Language
PythonAI Models
ChatGPT, GPT-4, LLaMAWhat's included
| Service Tiers |
Starter
$150
|
Standard
$300
|
Advanced
$500
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 10 days |
Number of Revisions | 1 | 2 | 3 |
AI Model Integration | |||
Batch Normalization | - | - | - |
Database Integration | - | ||
Detailed Code Comments | |||
Image Upscaling | - | - | - |
MLOps | - | - | - |
Model Deployment | - | - | |
Model Documentation | - | ||
Model Monitoring | - | - | |
Model Testing & Optimization | - | - | - |
Model Tuning | - | - | - |
Natural Language Processing | |||
NLP Tokenization | - | - | - |
Pre-Training | - | - | - |
Prompt Engineering | |||
Setup File | - | ||
Source Code |
Frequently asked questions
About Watcharasak
Python Automation & Data Pipeline Engineer
Bangkok, Thailand - 9:49 am local time
wrong time, pipelines that fail silently, scripts no one else can
maintain. I build systems that don't.
My background is in quantitative trading infrastructure, where data
reliability isn't a nice-to-have — it's the whole point. I've built
production pipelines processing over a million records daily and
automated workflows that cut a 10-person team's manual workload by 70%.
That same standard is what I bring to every freelance project.
What I work on:
Python automation — scheduled scripts, file processing, report
generation, workflow automation across APIs and databases.
ETL & data pipelines — end-to-end extraction, transformation, and
loading from messy real-world sources into clean, usable formats.
SQL analysis & optimization — complex queries, slow query fixes,
reporting layers on top of existing databases (MySQL, PostgreSQL).
Data cleaning & transformation — turning inconsistent, multi-source
datasets into something analysis-ready.
I work best with clients who have a specific problem and want it solved
properly. Every delivery comes with clean code, documentation, and a
handoff you can actually understand and maintain.
Available for fixed-price projects and hourly engagements.
Message me with what you're working on.
Steps for completing your project
After purchasing the project, send requirements so Watcharasak can start the project.
Delivery time starts when Watcharasak receives requirements from you.
Watcharasak works on your project following the steps below.
Revisions may occur after the delivery date.
Requirements review & sample analysis
I review your brief and sample files to confirm scope, identify edge cases, and propose the best extraction approach.
Pipeline design & prompt engineering
I design the extraction schema, build Python scaffolding, and craft Claude API prompts tuned for your document types.