Hi there! π I'm Jingtao Scott Hong, a Data Scientist and Software Development Engineer with a strong academic background and professional experience in machine learning, AI, and software engineering. I'm passionate about building data-driven solutions that solve complex problems and drive innovation.
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π Education:
- Columbia University, M.S. in Business Analytics (Expected Dec 2024)
- University of Virginia, B.A. in Computer Science (May 2023)
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π Honors: Dean's List, GPA: 3.83/4.00
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πΌ Professional Experience:
- Data Scientist Intern @ HireBeat: Developed LLM-based automation platforms and advanced graph databases.
- M&A Research Intern @ KPMG Shanghai: Conducted market research and client interviews for strategic advisory.
- Machine Learning Engineer @ UVA DevHub: Built predictive pricing models and optimized web applications.
- Languages: Python, SQL, Java, C++, PHP, JavaScript, HTML/CSS
- Frameworks: Django, ReactJS, Bootstrap, TensorFlow, PyTorch
- Tools: AWS, Neo4j, Tableau, Power BI, Docker, SAS
- Libraries: Pandas, NumPy, LangChain, Keras, Gurobi
- EcoLegal Assistant: Developed an Azure OpenAI-powered LLM solution for environmental compliance.
- Machine Learning Research: Reproduced 30+ SOTA adversarial attacks for secure ML practices; research published in IEEE Secure ML Conference.
- Full-Stack Web Application: Built using Django, ReactJS, and AWS for a client at UVA DevHub.
- π§ Email: jhong1711785634@gmail.com
- π LinkedIn: linkedin.com/in/jtshong/
Whether you're interested in my work, looking for collaborations, or have exciting opportunities to share, feel free to reach out!