I am Angel. Currently a Master's Student in Computer Science/Data Science and incoming Data Science Intern. My areas of interest are Unsupervised-Supervised ensemble models, Reduced-Order Modeling, and Time Series Forecasting/Predictive Modeling. I have experience in both Python and R building unsupervised/supervised learning models, performing data analyses, and research development.
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š Iām currently working on a few projects:
- The Past Decade in Music. A series of analyses, models, and shiny dashboards exploring the past decade in popular music using the Billboard Top 100 list, The Spotify API, and the Genius API.
- Applied Deep Learning. A variety of mini-projects implementing Neural Networks from FCNs, CNNs, AEs/GANS, RNNs, etc. Based on a course I am taking in my Master's Program
- Yahoo Finance Ticker Dashboard. A Streamlit dashboard implementing plots to get info-at-a-glance on an inputted stock ticker. The dashboard also implements multiple autoregressive/time series forecasting models with selectable tickers for stocks. (DAR, ARIMA, SARIMAX, etc.). Data pulled from the Yahoo Finance API.
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š± Iām currently learning about Autoencoders, Streamlit Dashboard Development, and Data Warehousing methods and technologies while refining my Data Science fundamentals and programming skills.
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent