Culberson Melissa

Key Skills

Software

AWS SageMaker

Scale AI

Top Subject Matter

No subject matter listed

Top Data Types

Text

Top Label Types

Classification

Freelancer Overview

I am an experienced AI Data Analyst and software developer with over 8 years working on projects that transform raw data into actionable insights for healthcare, retail, logistics, and e-commerce clients. My expertise spans the full data lifecycle, including data cleaning, annotation, and preparation for machine learning and NLP applications. I have hands-on experience building and deploying predictive models, developing customer segmentation and sentiment analysis dashboards, and collaborating with data engineers to streamline ETL pipelines using Python, SQL, and tools like Airflow. I am skilled in leveraging platforms such as AWS, Tableau, and Power BI for data visualization and reporting, and I have contributed to projects involving churn prediction, anomaly detection, and recommendation engines. My focus on data quality, attention to detail, and strong communication skills enable me to deliver reliable, high-impact AI training data and analytics solutions.

Labeling Experience

AI Data Analyst / Data Annotation Specialist

Aws SagemakerTextClassification

As an AI Data Analyst, I annotated and categorized large text datasets for sentiment analysis and natural language processing. I prepared and validated labeled data required for effective machine learning model training. I ensured high annotation accuracy and quality for optimal AI system performance. • Labeled and classified text data for sentiment and language models • Performed rigorous quality assurance checks on labeled datasets • Supported data preparation and cleaning for ML tasks • Utilized domain expertise to maintain labeling consistency

As an AI Data Analyst, I annotated and categorized large text datasets for sentiment analysis and natural language processing. I prepared and validated labeled data required for effective machine learning model training. I ensured high annotation accuracy and quality for optimal AI system performance. • Labeled and classified text data for sentiment and language models • Performed rigorous quality assurance checks on labeled datasets • Supported data preparation and cleaning for ML tasks • Utilized domain expertise to maintain labeling consistency

2021

Sentiment Analysis System Project (Data Annotation)

Scale AITextClassification

For the Sentiment Analysis System project, I annotated over 5,000 customer reviews to build a training dataset for sentiment classification. My annotations contributed directly to model development and performance improvement. I maintained a meticulous standard to maximize dataset reliability and training outcomes. • Executed manual text labeling for sentiment classification tasks • Ensured accuracy and objectivity in labeled data samples • Supported model performance evaluation using labeled sets • Applied expert judgment for ambiguous sentiment cases

For the Sentiment Analysis System project, I annotated over 5,000 customer reviews to build a training dataset for sentiment classification. My annotations contributed directly to model development and performance improvement. I maintained a meticulous standard to maximize dataset reliability and training outcomes. • Executed manual text labeling for sentiment classification tasks • Ensured accuracy and objectivity in labeled data samples • Supported model performance evaluation using labeled sets • Applied expert judgment for ambiguous sentiment cases

2020 - 2024

Education

Work History