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Data Science & Artificial Intelligence undergraduate, working across Data Analysis, Data Engineering, Applied AI, and Software Engineering. -
Data Analyst I @ Zoox Smart Data- At Zoox, I work with Python, ETL pipelines, data integration, data quality, APIs, and large-scale datasets, including datasets built from 30+ public and external sources and exceeding 30M records.
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Experienced in building data-intensive and AI-powered systems, including LLM applications, natural-language interfaces for structured data, document extraction pipelines, backend APIs, and analytical workflows. -
Research experience spanning Machine Learning, geospatial analysis, Large Language Models, Applied NLP, and Data Mining.-
Co-author of research involving CO₂ clustering and geospatial analysis and mental health and GPT usage among college students.
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Author of an Applied NLP paper accepted at SBBD 2026.
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- Languages: Python, JavaScript, TypeScript
- Web & Full-Stack Development: Vue.js, React, FastAPI, Node.js, REST APIs, HTML/CSS, responsive web development
- Data Science & AI: Pandas, data analysis, data visualization, machine learning, deep learning, NLP, Transformers, Hugging Face, PyTorch
- Data Engineering & Databases: ETL/data pipelines, web scraping, data extraction, data processing, MySQL, relational databases
- Software Engineering & DevOps: Git, GitHub, Docker, GitHub Actions, CI/CD, automated testing, modular architecture, API integration