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Achievements

Achievement: Pull SharkAchievement: Arctic Code Vault Contributor

Achievements

Achievement: Pull SharkAchievement: Arctic Code Vault Contributor

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georgehua/README.md

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.

Pinned Loading

  1. covid19-research-paper-topic-modeling covid19-research-paper-topic-modeling Public

    Topic Modeling on 400k medical literature. TF-IDF, LDA, HDP, K-Means, Recommendation System

    Jupyter Notebook 1

  2. twitter-sentiment-analysis twitter-sentiment-analysis Public

    Designed and modeled Naïve Bayes and RNN-LSTM on 1.6 million tweets to determine sentiment polarity. NLTK, Tensorflow, Keras

    Jupyter Notebook 1

  3. spark-retail-sales-analysis spark-retail-sales-analysis Public

    Retail sales prediction with Spark Scala on Databrick platform. Compared Random Forest, Decision Tree, Gradient Boosted Tree, Linear Regression, Simple Moving Average.

    Scala

  4. energy-consumption-prediction energy-consumption-prediction Public

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

    Jupyter Notebook 2

  5. paper2audio paper2audio Public

    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 1 1