I’m a data scientist with a background in artificial intelligence and a passion for developing innovative data stories and machine learning models. My interests lie in transforming raw data into compelling data stories and impactful models that help inform data-led decision making. I strive to develop creative and efficient solutions to challenging problems.
Most of my life has been spent between Hong Kong, China, and the United States. I grew up speaking English, Mandarin, and Cantonese and have always loved learning new languages. To me, being able to communicate with others in a language and culture they understand connects you with them on a deeper level. I have found that this form of communication extends beyond human languages into computer languages. What is code if not a programmers attempt to communicate with the world around them? Learning new libraries is my way of expanding my vocabulary in order to reach larger and larger audiences!
In my spare time I enjoy playing video games, making digital art, and hanging out with my pets Luna and Azula.
Python
SQLTableauGitHTML/CSSJavaJavaScriptD3JupyterPhotoshopProcreate
Languages
I'm currently working on an rhyme generator using IPA pronunciations, NLP, and sentiment analysis to help song writers find potential rhyming words for their lyrics. Rhyme generators online focus on finding perfect rhymes, but the world of songwriting is much broader than that. Unlike mainstream rhyme generators I've math-ified IPA pronunciations to find perfect, family, additive/subtractive, and assonance rhymes. So far I have built a rhyming dictionary for over 30,000 English words.
I've pulled lyrical data of top 50 pop songs from 2015-2021 using the Genius API and have analyzed the rhyme patterns used in these songs in order to build a recommender model to help song writers get inspiration for their lyrics.
