LAURA LAILAURA LAI Ô: l aur al ai 2 . 0 @ g mai l . co m ∙ Ë: 2 0 2 - 6 3 1 - 8 2 9 1 EDUCATION...
Transcript of LAURA LAILAURA LAI Ô: l aur al ai 2 . 0 @ g mai l . co m ∙ Ë: 2 0 2 - 6 3 1 - 8 2 9 1 EDUCATION...
LAURA LAI 📧: [email protected] ∙ 📞: 202-631-8291
EDUCATION The George Washington University Washington, DC Bachelor of Science in Physics Fall 2011 – Spring 2015 SKILLS Programming Languages Python, Java, R, SQL
Libraries BeautifulSoup, Matplotlib, NLTK, NumPy, pandas, Seaborn, Tweepy
Software Eclipse, Jira, Git, Jupyter Notebook, RStudio, Spyder PROJECTS Apartments Web Scraper A proof-of-concept that extracts data from Apartments.com to aid in apartment hunting INTERESTS Data Visualization, Artificial Intelligence, Machine Learning, Natural Language Processing
EXPERIENCE Data Science Engineer – GXM Consulting July 2018 – Present
● Devise an automated process for performance management data collection, analysis, and visualization using Python
● Instantiate and manage Google Analytics data for Army Futures Command websites to enable analyses on site performance and visitor trends
● Lead a software development project that incorporates machine learning APIs to process unstructured text
Business Technology Analyst – Deloitte Consulting February 2016 – July 2018
● Developed, tested, and implemented new features for an analytics tool using Java
● Designed and built customized dashboards incorporating R algorithms to automatically populate data visualizations
● Generated insightful data visualizations to convey analysis findings for technical and functional audiences
● Created databases from disparate data sources and performed data cleansing to optimize analysis processes
● Employed risk-based predictive techniques to create specialized models used by national security leaders to prioritize system requirements, allocate resources, and improve field operations
Particle Physics Researcher – European Organization for Nuclear Research (CERN) May – August 2015
● Wrote analysis software to reconstruct particle masses and evaluate detection efficiency for a particle detector in the Large Hadron Collider (LHC) ecosystem
● Derived and implemented an efficiency formula for particle collision simulation improving detection by 400%
● Performed statistical analysis on millions of high-energy physics events to determine the uncertainty of Higgs boson measurements