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stathwang/README.md

Hi there

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🔭 What I do

I'm a data science and machine learning professional with hands-on technical and managerial experience in building data products and teams for a wide variety of industries: direct-to-consumer retail, restaurant point of sale and management, micromobility operations, marketplace lending, and programmatic marketing.

I provide strategic and tactical leadership in algorithms, engineering and analytics and develop data and algorithmic capability from the ground up. I enjoy developing innovative solutions for complex problems while balancing the needs for quick wins with data.

I advise companies on data science, machine learning and AI.

📚 Applied research background

  • Scalable Recommender Systems
  • Natural Language Processing
  • Natural Language Generation
  • Probabilistic Modeling, Probabilistic Machine Learning, and Bayesian Inference
  • Forecasting

📫 Connect with me

Linkedin Badge Tech Blog Badge

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  1. LCARS LCARS Public

    Location-Content-Aware Recommender System in Python and R

    Python 6 2

  2. FPMC FPMC Public

    Factoried Personalized Markov Chains for Next Basket Recommendation in R and Python

    R 12 3

  3. POS-Taggers POS-Taggers Public

    Part-of-Speech Tagging Models in Python

    Python 15 5

  4. Language-Model Language-Model Public

    Generating Movie Reviews in Korean with Trigram Language Model

    Python

  5. FOSSIL FOSSIL Public

    Fusing Similarity Models with Markov Chains for Sparse Sequential Recommendation in R and Python

    R 15 2

  6. Bayesian-AB-Testing-App Bayesian-AB-Testing-App Public

    Shiny Web App for Bayesian A/B Tests

    R 2