AI/ML Data Preparation & Labeling Pipelines
Starting at
$
30
/hrAbout this service
Summary
FAQs
Why is this better than using a data labeling service?
Labeling services often charge per-item and don't handle the acquisition and cleaning. I build the full pipeline: Scraping -> Cleaning -> Pre-processing -> Labeling, giving you an end-to-end, reproducible process.
What kind of data can you prepare?
I specialize in preparing structured and unstructured text data (NLP), tabular data (prediction models), and custom data sets for classification tasks, ready for libraries like Scikit-learn and TensorFlow.
What's included
ML-Ready Data Set (JSON/CSV)
The final structured data set, formatted and cleaned according to the specific requirements of the client's ML model (e.g., text pre-processed, images resized/labeled).
Data Scraping/Cleaning Script
The documented, repeatable Python script that executes the full data acquisition and cleaning logic, allowing the client to refresh the data set in the future.
Validation Report
A PDF or Jupyter Notebook file detailing the data's quality, completeness, and any labeling methodologies used, ensuring transparency and model reliability.
Recommendations
(5.0)
Client • Nov 5, 2025
Recommended
Excellent stuff, I gave Abhiram a challenge, and he rose to it, completed in less than a day! Would have taken me weeks if not months without him.
Client • Jul 14, 2024
Recommended
Abhiram proved a reliable resource, clear in communications and exceptional in quality of deliverables. We worked together for over five years in large web scraping projects. I strongly recommend this profile for related technologies
