Sojavola Ratalata

Key Skills

Software

Google Cloud Vertex AI

Other

Scale AI

Top Subject Matter

No subject matter listed

Top Data Types

Computer Code Programming

Document

Geospatial Tiled Imagery

Top Task Types

Action Recognition

Classification

Computer Programming Coding

Data Collection

Freelancer Overview

I have a strong background in data annotation, AI model training, and financial data analysis, with expertise in NLP, computer vision, and structured data processing. My experience includes labeling datasets for machine learning models, performing text classification, sentiment analysis, and entity recognition, as well as annotating images for object detection and facial recognition. With a solid foundation in Python, SQL, Power BI, and Excel, I bring a data-driven approach to AI training, ensuring high-quality, well-structured datasets for optimal model performance. My background in accounting and business management allows me to work effectively with financial data, making me a valuable asset for AI models requiring precise and structured input. Passionate about AI ethics and accuracy, I am committed to delivering high-quality labeled data to improve model efficiency.

Labeling Experience

AI-Powered Data Annotation for Machine Learning Models

Scale AITextBounding BoxEntity Ner Classification

I worked on a large-scale AI training project, labeling text, images, and video data to enhance machine learning models for natural language processing (NLP), object detection, and sentiment analysis. Tasks included: Annotating financial documents for entity recognition and classification Labeling visual data for AI models in autonomous systems Performing relationship classification and intent recognition in conversational AI Ensuring high data quality and consistency through rigorous review processes This project involved thousands of data points and adhered to strict accuracy and quality control measures to improve AI model performance.

I worked on a large-scale AI training project, labeling text, images, and video data to enhance machine learning models for natural language processing (NLP), object detection, and sentiment analysis. Tasks included: Annotating financial documents for entity recognition and classification Labeling visual data for AI models in autonomous systems Performing relationship classification and intent recognition in conversational AI Ensuring high data quality and consistency through rigorous review processes This project involved thousands of data points and adhered to strict accuracy and quality control measures to improve AI model performance.

2024

Education

Work History