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Name: Audrey Zhang

Type: User

Bio: M.S. student in Data Analytics @ Carnegie Mellon University.

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

Audrey Zhang's Projects

aeo_case_competition

aud-z

beautifulsoup_coreyms

beautiful soup webscraping exercise to scrape data from a blog website that includes video and articles (www.coreyms.com)

beautifulsoup_web_scrape

an exercise to scrape website data using beautifulsoup

countyhealth

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.

cover_art_generation

Art ML Project 2

covid-19twitterretweetprediction

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.

covid_sir

SIR optimizations using COVID data

customerlifetimevalue

Calculating customer lifetime value

decisiontree

implementation of a binary classification algorithm from scratch

deloittedigitaldemocracy

Final project for Data Science for Product Managers (Spring 2021) at CMU

emonet

Official implementation of the paper "Estimation of continuous valence and arousal levels from faces in naturalistic conditions", Antoine Toisoul, Jean Kossaifi, Adrian Bulat, Georgios Tzimiropoulos and Maja Pantic, Nature Machine Intelligence, 2021

fakenewsclassification

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.

gaussian-naive-bayes

a simple implementation of the Naive Bayes algorithm from scratch, based on a defined set of input features.

globalenergyconsumption_interactivebubblechart

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).

hierarchicalforecast

Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.

imageclassification-pytorch

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

ledapy

Partial Python port of Ledalab (www.ledalab.de)

mazerunner

Final project for Intro to Java class

music_generation

ArtML Project 3

musical_jukebox

neuralnet

An implementation of a simple, single-layer neural network from scratch.

nlp_sentiment_classification

oddsandevens

This is the Odds and Evens project for the Intro to Java class

pa_sentencing

pagerank

naive implementation of PageRank algorithm, including global PageRank and query/topic-sensitive PageRank.

portfolio

This is a portfolio for data visualization projects.

predictingpoverty-scikit-learn

This is a project completed for the Python for Data Science class. The goal is to use machine learning algorithms to predict the likelihood that an individual individual lives below the poverty line (Poverty Probability Index, or PPI) using a set of metrics about the individual's life.

travelingsalesmanproblem-ida-

Execution of an iterative deepening A* search algorithm for the Traveling Salesman Problem, using Kruskal's algorithm as heuristic.

vacationplanner

vacation planner project for Intro to Java class

aud-z Goto Github PK

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Audrey Zhang's Projects

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