Hello, I'm Ziyu
A developer and data engineer.
Currently based in New York City and Houston, TX.
I am currently a master's student at Cornell Tech in Information Systems (w/ concentration in Health Tech). Specialization in Computer Science.
Education
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University of Rochester
B.S. Data Science, Minors in Statistics and Legal Studies | Aug. 2016 - May 2020
Experience
2022
January - May
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Grader for Introduction to Computer Vision (CS 5670 @Cornell)
2021
August - December
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TA for Applied Machine Learning (CS 5785 @Cornell)
May - August
February - December
2020
August
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🏫 Enroll in Cornell Tech
May
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🎓 Graduated from the University of Rochester | Go Yellowjackets! 🐝
January - May
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TA for Intermediate Statistics and Computational Methods (CSC 265/465 @UR)
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TA for Data Analysis II (PSC 205 @UR)
2019
August - December
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TA for Data Mining (CSC 240 @UR)
May - August
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Technical Assistant at Center for Integrated Research Computing (CIRC)
Python
January - May
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Head TA for Data Structures and Algorithms (CSC 172 @UR)
2018
August - December
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Head TA for Introduction to Computer Science (CSC 171 @UR)
May - August
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Data Analyst Intern at JD.com
January - May
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Workshop Leader for Data Structures and Algorithms (CSC 172 @UR)
2017
August - December
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Workshop Leader for Introduction to Computer Science (CSC 171 @UR)
2016
August
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🏫 Enroll in the University of Rochester
Project Showcase
Here are things I've done and I like.
Journal RX
Journal RX, a mental health tracker for pediatric cancer patients. (ft. An entrepreneurial project sponsored by Cornell Tech)
Figma
Movie Recommendation Systems
Developed recommender systems for movie recommendations by predicting the ratings that each user would give to unwatched movies and suggesting the top-5 rated movies.
Autoencoder Github
Daily News for Stock Market Prediction
Predicted the stock market movement pattern and trend with machine learning techniques including Deep Learning and NLP to get the most thoughtful and predictive model.
Time Series AnalysisThings I Can Do
These are what I like to do in my spare time.