Katie Yang
Data Scientist | Financial Analyst | Curious Human
Hello, my name is Katie Yang.
I graduated from Commerce & CompSci at Queen's University.
I ♥ exploring the intersection of business and technology.
Hello, my name is Katie Yang.
I graduated from Commerce & CompSci at Queen's University.
I ♥ exploring the intersection of business and technology.
I graduated with a B.Comm and B.Comp from Queen's University in 2018. I've completed freeCodeCamp's Front End Web Development Certificate and Andrew Ng's Machine Learning course on Coursera. I'm fascinated by the use of data science to generate unique investment insights.
When I'm not at work, I like to attend hackathons, play boardgames, and learn about renewable energy and EVs. I would be happy to have coffee chats with anyone with overlapping interests. If you're interested, I'd love to talk.
Shoot me a message at 13hy22@queensu.ca
Technologies: AWS EB, Bootstrap, D3.js, IBM Watson, Python Flask, Twitter API
This project was completed at QHacks 2018. The goal was to analyze tweets about different stock tickers using Watson's Tone Analyzer, and graph sentiments over time to predict fluctuations in the financial markets. Check out the DevPost here.
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Technologies: HTML, CSS, JS, JQuery, Google Maps API
This project won 2nd place at RBC's Next Great Innovator Hackathon 2016. The challenge we were given was to create a hack that would help RBC's small business owners manage their business/grow their revenue. RoyalRewards is a web app that allows all RBC Small businesses to sign up and start their own loyalty programs, allowing cross-promotion with other RBC small business clients. Check out the repo here.
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Technologies: Python, Streamlit, Plotly
This project was for the Streamlit Data-A-Thon in 2023. It utilizes historical US stock and bonds data to help users determine the success rate of their retirement based on numerous inputs (e.g., number of years, equity allocation, withdrawal rate, etc.). You can find it on GitHub.
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Technologies:Bootstrap, D3.js, IBM Watson, nltk, Python Flask, YouTube API
This Full Stack project was created during the course COMM493 - Analytic and Artificial Intelligence for Business. Its primary goal is to use sentiment analysis and natural language processing in order to offer YouTube creators an efficient and accurate comment summarization tool. See the code on GitHub or a video demo.
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Technologies:Bootstrap, cheerio, Google Maps API, node.js, nodemailer, Represent Civic Information API
SiMPPlify won 3rd place overall at Hack The 6ix 2018. Its goal is to lower the barrier to political participation by collecting and making sense of parliamentary data and opinions in one place and simplifying the process of petitioning one's Member of Provincial Parliament. See more details on DevPost and the code on GitHub.
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Technologies:JavaScript, p5.js
A cute Snake game I built for fun. Play here.
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