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aud-z/README.md

Hi there!

I am Audrey - a music lover, creative problem-solver, and hot sauce enthusiast. Currently a Masters student in Data Analytics at Carnegie Mellon University.

I am fascinated with the role that data play in addressing society's complex solutions. Prior to grad school, I had the opportunity to help implement some very exciting Medicare innovation programs. I analyzed Medicare claims data to construct key indicators for program impact and synthesized the results to create strategies for improvement. It was amazing to see data insights get translated into concrete policy action and measurable outcomes. Eager to learn more, I am taking these next two years to polish my technical skills so that I can bring a robust set of analytical capabilities, along with my humor and relentless intellectual curiosity, to wherever my next adventure may be.

📑 What I've learned so far:

  • NLP, ML, neural networks/deep learning using Python
  • Mathematical foundations of ML and deep learning
  • Optimization & data science for business and products
  • Statistical & econometrics analysis using R, SPSS, and STATA
  • NoSQL database management
  • Big data and large-scale computing (Pyspark)
  • Unstructured data analysis

🌱 What I'm up to now:

  • summer internship @ BCG GAMMA
  • diving head-first into the real world and learning how to productionalize ML models for deployment at scale

⚡ Fun facts:

  • avid (solo) traveler
  • Muay Thai student
  • bookworm

Find me on LinkedIn

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  1. globalEnergyConsumption_interactiveBubbleChart globalEnergyConsumption_interactiveBubbleChart Public

    This is a visualization exercise for creating an interactive bubble chart for various countries' energy consumption trends over time. Countries are grouped by region (continent).

    Jupyter Notebook

  2. ImageClassification-PyTorch ImageClassification-PyTorch Public

    This is an image classification exercise using deep learning (PyTorch).

    Jupyter Notebook

  3. COVID-19TwitterRetweetPrediction COVID-19TwitterRetweetPrediction Public

    Applied natural language processing to extract key information from COVID-19 related tweets. Conduct feature engineering and selection for both supervised and unsupervised prediction models.

    Jupyter Notebook

  4. FakeNewsClassification FakeNewsClassification Public

    This is a fake news classification project, using TFIDF and pre-trained w2v embedding as separate sets of features, along with text sentiment scores, to classify news text as fake or real.

    Jupyter Notebook

  5. countyHealth countyHealth Public

    This is an analysis of county-level health outcomes, based on the University of Wisconsin’s Population Health Institute's county health rankings dataset from 2020.

    Jupyter Notebook

  6. customerLifetimeValue customerLifetimeValue Public

    Calculating customer lifetime value

    Jupyter Notebook