Alexander J. Wu
Cell: (510) 519-8592 · alexander.wu7@gmail.com · Fremont, CA · US Citizen
Website: alexanderwu.github.io · LinkedIn: /in/alexanderwu7 · GitHub: /alexanderwu
Education
UC San Diego
La Jolla, CA
M.S. Computer Science, Depth: Artificial Intelligence
Sep 2018 - June 2020
UC Santa Barbara
Santa Barbara, CA
B.S. Computer Science, Minor: Statistical Science
Aug 2014 - June 2018
Work Experience
Halicioglu Data Science Institute
UC San Diego
Graduate Student Researcher
April 2019 - July 2020
- Contract work with Navy to investigate effectiveness of IT technicians among dozens of Navy ships in a 6 year period
- Wrangled unstructured data with Pandas to enable analysis of key metrics over time per ship
- Leveraged NLP (text preprocessing, topic modeling, etc.) for root-cause analysis of over 10K trouble tickets
Aruba Networks
Santa Clara, CA
Data Science Intern
June 2018 - Sep 2018
- Prototyped change detection model of WiFi traffic for Aruba NetInsight dashboard
- Wrote PySpark script for end-to-end data processing to update change detection model daily
- Interactively visualized model for tuning, debugging, and diagnostics using Bokeh
Northrop Grumman
San Diego, CA
Software Engineer Intern
June 2017 - Sep 2017
- Designed, integrated, and tested Java GUI to monitor and control subsystems of an autonomous aircraft
- Engaged in Agile scrum methodology to efficiently develop software
ProDIGIQ
Thousand Oaks, CA
Software Engineer Intern
June 2016 - Sep 2016
- Developed, customized, and configured Ruby on Rails web applications for four airports
- Hepled digitize inspection forms, manage leases, track wildlife incidents, and monitor flight delays
- Highlight tarmac delays in real-time with CSS and JavaScript, helping prevent million-dollar fines for airlines
- Designed MySQL database schema to collect airport-specific data and debug data input/updates
Projects
JobServant
Node.js, Express.js, REST API, MongoDB, Jest
AI-powered web app to organize the job search
Food Review Sentiment Analysis
Flask, Scikit-learn, tf-idf
Web app to predict positive vs negative Yelp reviews with real-time user input
Farmers Insurance Claims
R, logistic regression, random forest, xgboost
Predict who is likely to sue small businesses insured by Farmers Insurance
Skills
Languages:
Python, R, SQL, JavaScript, HTML, CSS, Java, C++, Ruby, Bash
Python for Data Science:
Jupyter, pandas, matplotlib, plotly, scikit-learn
Big Data and Cloud:
Spark, Hadoop, Amazon Web Services (AWS), Docker, Linux
Web Technology:
Node.js, MongoDB, Express.js, Jest
Deep Learning:
PyTorch, Keras, TensorFlow, TensorBoard