Vo Chan Nguyen

Welcome to My Data Portfolio 👋😎

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I’m currently a working Data Scientist, having recently earned my M.S. in Data Science from Southern Methodist Univeristy. My passion and specialty is in AI Development and broadening my expertise by creating blogs and learning more through teaching. In my portfolio, you’ll find case studies, teaching videos, and other projects that highlight my background in coding, AI, proofs, and other teaching materials. Please explore the navigation bar for my Core Clarity, Resume/CV, Teaching sections, and more.

Outside of work, I enjoy playing basketball in a rec league, serving at church, and traveling with my lovely wife and daughter.


Education

🎓 M.S. in Data Science (2022–2024)
      Southern Methodist University

🎓 B.S. in Mathematics (Actuarial Science) (2010–2014)
      The University of Texas at Austin


Professional Experience

AT&T – Data Scientist (June 2023 – Present)

  • Developed Generative AI solutions for RFP and Knowledge Management platforms by creating Retrieval Augmented Generation (RAG) systems and data pipelines, achieving $800k cost savings
  • Optimized database document management, ingestion, and chunking strategies using Python, Microsoft Azure OpenAI Services, Microsoft SharePoint, and Azure DevOps
  • Served as a technical liaison between the Chief Data Office (Mid-Markets and Enterprise ProServe) and internal clients, bridging communication gaps, resolving technical issues, and enhancing project efficiency
  • Created Generative AI proofs of concept using Streamlit, producing demo videos and presentations to showcase project updates and enhance client engagement

Dallas Independent School District – Distinguished Educator (October 2016 – May 2023)

  • Applied data-driven instruction to identify knowledge gaps and monitor students’ progress toward learning goals
  • Designed differentiated lessons to engage and meet diverse learning needs
  • Leveraged modern tools (e.g., VR, Desmos) to enrich learning experiences and maintain academic rigor
  • Collaborated with fellow educators to develop lesson plans and model mathematical exemplars

New York Life – Senior Specialist Life Underwriter (July 2014 – May 2015)

  • Conducted detailed analyses of medical and financial information to determine risk classes
  • Researched medical conditions for critical and complex cases, ensuring thorough risk assessment


Technical Skills

🤖 Machine Learning Models: Decision Tree, RandomForest, Logistic, LightGradient, XGBoosting, Neural Networks (Multi-Layered Perceptron), NLP, MLR

📈📉 Use Case: Microsoft Azure Databricks, Apche, Spark, Palantir, H20.AI

📊 Data Visualization: Proficient in Tablaeu, Excel, Processing, JavaScript


Research and Publication

Published Peer-Reviewed Data Science Journal
SMU Data Science Review, Vol. 8, No. 1, Article 10 (May 2024)

  • Generative AI Research — “Intelligent Solutions for Retroactive Anomaly Detection and Resolution with Log File Systems”