Key Skills

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Action Recognition

Classification

Data Collection

Emotion Recognition

Evaluation Rating

Fine Tuning

Mapping

Prompt Response Writing SFT

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Freelancer Overview

I am passionate about leveraging data to drive impactful AI solutions, with hands-on experience in data labeling, annotation, and AI training workflows. I have developed and deployed NLP-based Python scripts utilizing tools like Pandas, NumPy, NLTK, and Gemini API to analyze large-scale datasets, including sentiment analysis for Apple’s wearable audio devices and benchmarking over 1,000 scripts for PocketFM using generative AI models. My work spans survey-based due diligence, quality control automation, and data-driven research in domains such as consumer behavior, e-commerce, and healthcare. I am adept at designing and managing data pipelines, ensuring high-quality labeled data for machine learning, and collaborating with cross-functional teams to optimize AI model performance. My approach combines strong analytical skills with a commitment to data accuracy, scalability, and ethical AI practices.

Labeling Experience

Education

Work History