You will get Clean Messy Data with Python Automation and ETL Scripts
Project details
Raw data is often unusable for decision-making or AI training. This project bridges the gap between messy inputs and actionable intelligence. Using Python (Pandas/Regex), unstructured text and chaotic spreadsheets are transformed into clean, standardized formats ready for immediate use.
Unlike basic data entry services, an Industrial Engineering approach ensures 99.9% accuracy through automated validation scripts. Whether the need is preparing data for an LLM, migrating to a new CRM, or fixing broken reporting pipelines, the focus is on speed and precision. Manual data entry is eliminated in favor of automated scripts that can be reused for future datasets. The final deliverable is not just a clean file, but a reliable process.
Unlike basic data entry services, an Industrial Engineering approach ensures 99.9% accuracy through automated validation scripts. Whether the need is preparing data for an LLM, migrating to a new CRM, or fixing broken reporting pipelines, the focus is on speed and precision. Manual data entry is eliminated in favor of automated scripts that can be reused for future datasets. The final deliverable is not just a clean file, but a reliable process.
Data Tool
pandasWhat's included
| Service Tiers |
Starter
$300
|
Standard
$600
|
Advanced
$900
|
|---|---|---|---|
| Delivery Time | 2 days | 4 days | 7 days |
Number of Revisions | 1 | 2 | 3 |
Frequently asked questions
About Marianne
Marketing Operations Specialist | Data Automation & Tech Strategy
Antipolo City, Philippines - 1:11 pm local time
Most marketing strategies break down when the data gets too big or the manual work becomes unmanageable. That is usually where I step in. I do not just execute basic tasks; I design custom workflows that automate manual processes and ensure CRM or AI models receive accurate, high-quality inputs. The goal is simple: smoother operations and better performance.
For example, I recently reduced a client's reporting time from 10 hours to 15 minutes by building a custom automation. Good decisions come from real numbers, so I build advanced dashboards that show ROI clearly and create custom scripts to evaluate backlink quality at scale.
Where I add value:
⚙️ Automation: Python (Pandas/beautifulsoup), Google Apps Script, API Integration, web apps
📊 Visualization: Looker Studio, Tableau, Power BI, Google Sheets Advanced Formulas
🔹 Data Ops: Cleaning unstructured text, Regex, SQL, ETL Pipelines, Data Scraping
📂 Marketing: Technical SEO Audits, Backlink Vetting, CRM Data Cleaning
🤖 AI Search Optimization (GEO): Brand Entity Management to ensure your brand is cited by LLMs (ChatGPT, Gemini, Perplexity, etc.)
Ready to stop guessing and start automating? Click "Invite to Job" to discuss the project.
Steps for completing your project
After purchasing the project, send requirements so Marianne can start the project.
Delivery time starts when Marianne receives requirements from you.
Marianne works on your project following the steps below.
Revisions may occur after the delivery date.
Data Assessment
Review of raw files and target format requirements to map out the cleaning logic.
Script Development
Engineering of Python logic and Regex patterns to handle edge cases and errors.