Key Skills

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Top Subject Matter

AI-Driven Data Scientist - Machine Learning & NLP Specialist

Junior Full Stack Data Scientist - Python & Computational Modeling

Machine Learning Engineer - Generative AI & Predictive Analytics

Top Data Types

Text

Computer Code Programming

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Top Task Types

Computer Programming Coding

Data Collection

Text Summarization

Text Generation

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Freelancer Overview

My experience in AI training data is anchored in a deep technical understanding of the full data lifecycle, developed through my Artificial Intelligence concentration at Full Sail University. I specialize in utilizing Python and libraries such as Pandas and Scikit-Learn to execute complex data profiling, transformation, and validation tasks. My background includes a strong focus on NLP and Large Language Models (LLMs), where I have designed AI workflows that emphasize data integrity and model performance evaluation. I am proficient in transforming raw, unstructured data into high-quality, standardized datasets suitable for training sophisticated machine learning models. A key highlight of my work is the Fusion Daily project, where I engineered a scalable NLP application to parse complex user narratives. By leveraging systematic prompt engineering and the OpenAI API, I successfully transformed subjective qualitative data into standardized quantitative metrics, achieving a 90% accuracy rate in categorizing user intent. Additionally, through my PharmaStock project, I developed probabilistic risk-scoring algorithms that required meticulous data modeling and the integration of multi-variable forecasting techniques. These experiences, combined with my ability to manage JSON data exchanges and technical documentation, allow me to bridge the gap between raw data collection and actionable AI insights

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Work History