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anissavaughn/README.md

πŸ‘ΈπŸ½ anissa vaughn: the data empress πŸ‘ΈπŸ½

βš™οΈ former ML engineer @ genentech

πŸ‘©πŸ½β€πŸ’» 1099 independent contractor in AI, analytics & product

πŸ† 2x hackathon winner @ NACME and mathworks

πŸ“š pioneered Senate endorsed EdTech product: AI-EP



🚧 currently revamping portfolio 🚧



🧠 domain expertise 🧠

πŸ•΅πŸ½β€β™€οΈ anomaly / outlier detection

☎️ LLM fine-tuning and prompt engineering

πŸ—ΊοΈ exploratory data analysis

πŸ•ΈοΈ full-stack web development

πŸ“š mathematical foundations of ML models

πŸ“Š data communication and design



πŸ–₯️ tech stack repertoire πŸ–₯️

AWS CSS3 Django Express.js Figma Flask Git GitHub HTML5 JavaScript Keras Matplotlib MongoDB MySQL Neo4j Node.js Pandas PyTorch Python R React Redis Scikit Learn SciPy Seaborn SQL TensorFlow TypeScript Unity Visual Studio Code

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    In this research investigation I explore the NiLearn library to create classifiers that predict emotion states of each participant under different priming conditions and parcellations.

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