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...

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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

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...

Page 1: 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 T h e G eo rg e W as h i n g t o n Un i v ers i t y W as h i n g t o n , DC B achel

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