AI/ML Data Preparation & Labeling PipelinesAbhiram Kannuri
Full pipeline development covering data acquisition (scraping or API), advanced cleaning/feature engineering (using Pandas/Numpy), and delivery of a production-ready data set of up to 10,000 records/items. Includes a final data validation report.
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.
FAQs
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.
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.
Abhiram's other services
Starting at$30 /hr
Tags
Python
PyTorch
scikit-learn
TensorFlow
Variational Autoencoders (VAEs)
AI Developer
AI Model Developer
ML Engineer
Service provided by
Abhiram Kannuri proNormanton, UK
- 1
- Paid projects
- 5.00
- Rating
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- Followers
AI/ML Data Preparation & Labeling PipelinesAbhiram Kannuri
Starting at$30 /hr
Tags
Python
PyTorch
scikit-learn
TensorFlow
Variational Autoencoders (VAEs)
AI Developer
AI Model Developer
ML Engineer
Full pipeline development covering data acquisition (scraping or API), advanced cleaning/feature engineering (using Pandas/Numpy), and delivery of a production-ready data set of up to 10,000 records/items. Includes a final data validation report.
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.
FAQs
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.
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.
Abhiram's other services
$30 /hr