I will build custom python data cleaning scripts and llm pipelines
Your On Demand Specialist for Data Scraping Mesh Repair and Code Automation
Sobre este Serviço
I build lightweight, custom Python data cleaning scripts and production-ready LLM prompt pipelines tailored to your exact CSV/Excel data.
You supply your messy data sample I deliver clean, documented Python automation and structured prompt engines you run locally on your own API keys. 100% data privacy with zero expensive monthly SaaS subscriptions.
WHAT YOU GET:
DETERMINISTIC DATA CLEANING: Phone normalization (E.164), email validation, smart name splitting, encoding repair, and fuzzy deduplication.
OPTIMIZED PROMPT ENGINEERING: High-precision system prompts for OpenAI, Claude, or Gemini with strict constraints (zero hallucination).
STRUCTURED JSON OUTPUTS: Guaranteed schema formatting for direct CRM/database ingestion.
BATCH RUNNER SCRIPTS: Plug-and-play Python scripts with automatic error handling.
100% DATA PRIVACY:
Everything runs locally on your machine with your own keys.
HOW TO START:
Send a 520 row sample sheet showing your headers and columns to get started!
Perguntas frequentes
Do I need programming experience to run the Python scripts?
Not at all! I provide clean, plug-and-play scripts with step-by-step instructions. You simply place your CSV in the folder, add your API key to an environment file (if using AI tiers), and run a single command.
What AI models do you support?
All major LLM providers including OpenAI (GPT-4o / GPT-4o-mini), Anthropic (Claude 3.5 Sonnet / Haiku), Google Gemini 1.5/2.0, and local open-source models via Ollama.
How do you guarantee the AI won't return broken markdown or invalid JSON?
I utilize native structured output schemas (JSON Schema / Pydantic validation) and strict negative prompting so responses ingest directly into your CRM or database without parsing errors.
Will my data be kept private?
Absolutely. I only work with your anonymized 5–20 row sample to build the logic. Your full dataset remains strictly on your local machine.

