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Hey there 👋,

I'm George Hua. Over the past 4 years, I've gained valuable entrepreneurial experience, working to bridge the diverse needs of various individuals. I've also honed my skills as a software developer, crafting high-quality programs that align with business requirements. However, my true calling emerged when I discovered my passion for data analytics, which allows me to tackle real-world challenges through quantitative analysis. My primary areas of focus are data analytics, machine learning, and natural language processing, where I'm dedicated to making a meaningful impact on society and the business world.

In my free time, I'm an avid enthusiast of science fiction narratives. Exploring these imaginative worlds is not only an adventure but also a constant source of inspiration for me. My all-time favorite sci-fi movie is "2001: A Space Odyssey," where the iconic line "It's full of stars" serves as a reminder of the boundless possibilities that lie ahead. 🌟🌟



The pinned repositories below are my projects built around around a variety of topics including supervised learning, topic modeling, sentiment analysis, data mining, time-series analysis, and neural machine translation.

George Hua's Projects

data-collection-projects icon data-collection-projects

Collection of data collection projects with web scraping and API tools. Data Source: Twitter, LinkedIn; Tools: BeautifulSoup, Selenium, Python, API

data-visualizations icon data-visualizations

Collection of my data visualization projects. Tools used: Tableau, R ShinyApp, Javascript, Python

energy-consumption-prediction icon energy-consumption-prediction

Modeled the energy usage of more than 1000 buildings for one year period (20 million rows). Models used: LightGBM, XGBoost, CatBoost

intro_to_r icon intro_to_r

Guest lecture for Mike Freeman's Intro to R class at the University of Washington Information School, March 4th 2016

paper2audio icon paper2audio

Paper2Audio is a text-to-speech app that uses a machine learning model to locate suitable texts in academic literature for reading aloud, then converts them to mp3 audio for online streaming. Stack: Vue.js, Nuxt.js, Firebase, AWS, Google Cloud, Tensorflow, Keras

reddit-politics-sentiment-analysis icon reddit-politics-sentiment-analysis

Classifying political affliation of Reddit comments. Extracting features from parts of speech, affective ratings, imagery, and age-of-acquisition scores. Used Spacy, SGD Classifier, MLP

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