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.
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.
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.
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.