Web development machine learning data science

ALEXIS (XUANZI) MA

Azusa, CA, ***** 805-***-**** ******@********.***

SUMMARY

Seeking an internship/full-time software engineer position. A wide range of project experience on web development and machine learning. Strong programming and analytical skills in Java, JavaScript, Python, R and SQL. EDUCATION

Columbia University, Columbia Engineering New York, NY M.S. in Operations Research, GPA: 3.61/4.00 Sep 2019 - Dec 2020

• Coursework: Algorithm Analysis, Machine Learning, Analytics on Cloud, Optimization Methods, Simulation University of California, Los Angeles (UCLA) Los Angeles, CA B.S in Statistics, with a minor in Mathematics, GPA: 3.89/4.00, Magna Cum Laude Sep 2017 - Mar 2019 University of California, Santa Barbara (UCSB) Santa Barbara, CA Statistical Science/Mathematical Science, GPA: 3.94/4.00, Honors Program Sep 2015 - Jun 2017

• Coursework: Problem Solving with C++; Computer Science with Python EXPERIENCE

Twitch+: A Personalized Twitch Search and Recommendation Platform

• Built a full-stack web application that supports users to search twitch resources and get recommendations

• Built front-end web page using React and Ant Design

• Created Java servlets with RESTful APIs to handle HTTP requests and responses with Twitch API

• Used MySQL database on Amazon RDS to store data

• Support login/logout/favorite functionality, and recommends Twitch resources by a Content-based algorithm Shopping+: A Shopping and Ordering System Based on Spring and Hibernate

• Used Spring framework to build a web application for users to shop and order items online

• Built a web application based on Spring MVC to support item search and listing

• Utilized Hibernate to provide better support of database operations

• Developed a Spring Web Flow to support item ordering Starlink: Starlink Trajectory Visualization Based on React JS

• Developed a visualization platform using ReactJS and D3 to track satellites in real-time based on geo-location

• Built selectors of location, altitude, and duration to refine satellite search

• Animated selected satellite paths on a world map using D3 to visualize the trajectories Kaggle Competition: Predicting affordability of houses (Ranked No.1 in the class)

• Dealt missing data by Mean/Mode Imputation and Nonparametric Bootstrap with Replacement

• Built models predicting the affordability of houses using Shrinkage Methods (Ridge Regression, LASSO, Elastic Net) and Machine Learning models (Logistic Regression, KNN, Random Forest, Boosting)

• Predicted the affordability using ensemble modeling, an inventive way to combine decisions of multiple models to improve the overall prediction accuracy, methods including majority vote, average of the results, and weighted average SKILLS

• Programming Languages: Java, JavaScript, Python, R, Scala, MATLAB, SQL

• Databases and Cloud: MySQL, AWS EC2, Hadoop MapReduce, Apache Spark

• Web Development: Java Servlet, HTML & CSS, React, Spring Framework, Apache Tomcat, Node.js,

• Data Science: supervised and unsupervised machine learning models

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