Iβm Mai Ngo, a passionate Data Scientist with a strong foundation in machine learning, NLP, data visualization, and big data processing. I truly believe that data can drive impactful business decisions and foster societal growth. My goal is to extract meaningful insights, develop scalable models, and create data-driven solutions that make a difference.
- Masterβs in Data Science (Computational Methods) | DePaul University.
- Bachelorβs in International Business, Finance, and Economics | University of Wisconsin-Superior.
- π Expertise in: Data Science & Statistical Analysis, Machine Learning, Recommender Systems, NLP, Deep Learning (RNN, LSTMs, Transformers), Data Mining & Visualization, Cloud Computing (AWS, Hadoop), and Power BI/Tableau.
- π Industry Experience: Data Science & Statistical Analysis, Data Mining & Visualization, Data Warehouse, Business Intelligence, Recommender Systems, Natural Language Processing, Machine Learning Models, Deep Learning, Programming, Compliance, Project Management, Customer Service, Supervision.
- π Machine Learning & AI:
- π Data Analytics & Visualization:
- πΎ Databases & Cloud:
- π Programming Languages:
- π Other Tools:
- π‘ Semantic-driven Hybrid Recommender System for Chicago Airbnb Listings β Built a system leveraging embeddings, sentiment analysis, and proximity to train stations to enhance Airbnb recommendations.
- π½οΈ Item-based Collaborative Recommender for Yelp Establishments β Developed collaborative filtering models to recommend establishments based on shared characteristics.
- π Financial Data Analysis β Power BI Framework for Underwriting Analytics β Built a custom reporting and analysis framework in Power BI to analyze AXA underwriting performance.
- π° Fake News Detection β Designed an NLP-based misinformation classification model using TF-IDF and LSTMs.
- π€ Building N-gram Language Models & Retrieval Augmented Generation (RAG) β Trained Mistral 7B & GPT-3.5 Turbo to evaluate perplexity and retrieval efficiency.
- Business analytics framework and data warehouse.
- Expanding my expertise in LLMs (Mistral, T5), Vector Search, and RAG.
- Exploring MLOps, Databricks, and scalable ML deployment.
- Actively seeking new opportunities in Data Science & AI
Looking forward to connect with you! β‘