Tech

Cody Yu

510-***-**** ******@********.*** linkedin.com/in/cody-yu github.com/cody-yu

EDUCATION

University of California, Berkeley AUGUST 2017 - DECEMBER 2020 Bachelor of Arts in Data Science (Emphasis in Business and Industrial Analytics) Relevant Coursework: Data Structures, Software Engineering, Database Systems, Artificial Intelligence, Machine Learning, Principles and Techniques of Data Science,Foundations of Data Science, Probability for Data Science, Structure and Interpretation of Computer Programs, Discrete Mathematics and Probability Theory, Business Analytics, Sports Analytics, Actuarial Data Analytics, Linear Algebra and Differential Equations EXPERIENCE

Fanatics - San Mateo, California - Data Engineering Intern MAY 2020 - AUGUST 2020

● Utilized machine learning techniques with Pandas to build a customer segmentation model with 99% accuracy

● Processed data with Apache Spark in Python to produce a risk score algorithm that helps with fraud detection

● Generated meaningful data summaries on large datasets from AWS using SQL and Apache Hive JPMorgan Chase - Virtual - Software Engineering Intern MARCH 2020 - MAY 2020

● Interfaced with a stock price data feed system and set up a system for data analysis in Python

● Used JPMorgan frameworks and tools to implement data visualization software in React and TypeScript

● Displayed data visually for traders by using an interactive visualization component to create a dashboard Wind River Systems - Alameda, California - Linux Engineering Intern JUNE 2019 - AUGUST 2019

● Created an internal tool in Python to verify that company products comply with standard security protocols

● Designed interactive learning platforms in HTML and CSS for demoing product features to customers

● Developed, tested, debugged, and maintained embedded Linux software with the Core Linux team Upstream - Berkeley, California - Data Science Researcher FEBRUARY 2019 - APRIL 2019

● Assisted in building a social content app that helps people find the best articles and videos for their interests

● Adjusted the weights of internal and virality signals from social media based on their observed usage

● Improved the content ranking by fully maximizing the salience of content in the feed Variantz - Singapore - Internet of Things Development Intern JUNE 2018 - JULY 2018

● Led the design and development of a commercial smart mirror project catered towards home use

● Carried out quality assurance, quality control, and testing on application functions and capabilities

● Collaborated closely with a team to develop an IoT platform to organize and manage property estate PROJECTS

NBA Salaries Predictor

● Made use of player season statistics and team salary cap data for predicting NBA salaries by testing and training machine learning models with Python libraries for data science

● Trained a random forest model to categorize the most undervalued and overvalued NBA players for each age Yelp Maps

● Constructed a Voronoi Diagram that created a visualization of restaurant ratings in Berkeley, California using machine learning and the Yelp academic dataset in Python

● Implemented simple least-squares linear regression to predict ratings users would give for restaurants VOLUNTEERING

Berkeley ANova - Computer Science Mentor SEPTEMBER 2017 - PRESENT

● Teaching computer science concepts in Python to 50+ students in under-resourced Bay Area schools

● Creating fun curriculum and innovative programming projects for 50+ students to learn about coding

● Leading and organizing workshops to prepare middle and high school students for college SKILLS

Computer Science:Python, Java, HTML, CSS, SQL, Scheme, Git, Linux, AWS Data Science:R, Jupyter, Pandas, NumPy, SciPy, Matplotlib, Seaborn, Apache Spark, Apache Hive

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