Quan Xue

Data scientist @ GovTech

+65 9673 6560 · quan.xue@outlook.com

I am a cloud-native data scientist who enjoys building tools and products to create value for society. My analytics training complements my background in Economics in delivering valuable data-driven recommendations. I have worked on a wide range of projects in a variety of industries, from building investment systems at Bridgewater Associates to redesigning the customer experience for one of the world's largest airport groups at KPMG.

Experience

Associate Data Scientist III

Government Technology Agency, Singapore
  • Joined as part of the Technology Associate Programme, a two-year leadership-trainee programme
  • Designed and implemented fraud detection platform using graph network, saving taxpayers SGD$X MM annually
  • Worked on demographics movement visualization and analytics application processing 60+ GB of daily data
  • Developed algorithm for generating map layer overlays based on user requirements and data constraints
  • Led engagement projects with other government agencies exploring urban planning and COVID management
  • Initiated time-series based anomaly detection in data pipeline
  • Runner-up in company hackathon for passport photo adjustment application applying deep learning for background removal
December 2020 - Present

Investment Engineer

Bridgewater Associates, Westport, USA
  • Conceptualized and implemented tool to detect data dependencies within investment systems, achieving >50% time saving
  • Designed data reliability and timeliness tests to ensure investment signal accuracy
  • Applied time-series analysis for predicting gold demand
February 2020 - September 2020

Graduate Innovation Intern

Chick-fil-A, Atlanta, USA
  • Spearheaded long-term development of an automated drive-thru voice ordering system applying natural language processing and AWS cloud technologies
  • Achieved >30% time saving and >40% improvement in customer engagement
Fall 2019

Client Data Science Summer Analyst

Pacific Investment Management Company (PIMCO), New York City, USA
  • Modeled effects of macroeconomic factors on investment decisions to guide product strategy and revenue forecasting using time-series analysis (ARIMA, GARCH, VAR)
  • Presented model viability to the CFO office and initiated long-term development of project
Summer 2019

Data Science Intern

Government Technology Agency, Singapore
  • Initiated and implemented Optical Character Recognition project for government media regulator identifying ISBNs from 10,000+ scanned documents using Tensorflow and Google Cloud
  • Accomplished >20x time saving (total of 4,000+ hours)
Summer 2018

Policy Summer Analyst

Infocomm Media Development Authority, Singapore
  • Evaluated annual spectrum auction design and data privacy regulation for $100B+ industry
  • Drafted white paper and presented recommendations for business-friendly tax policy and infrastructure development to senior officeholders
Summer 2017

Management Consulting Summer Analyst

KPMG, London, U.K.
  • Spearheaded the revitalization of major airport group’s customer experience for 75MM+ annual passengers
  • Analyzed customer feedback data, researched on retail industry trends and presented findings to senior leadership
Summer 2017

Army Sergeant, National Service

Singapore Armed Forces, Singapore
  • Graduated in top 30% of basic military training, nominated for leadership training to be a section leader
  • Served in armored engineer battalion as strategy analyst, reporting directly to battalion commander
  • Awarded "Serviceman of the Month" and top military performance grading upon completion of national service
February 2013 - December 2014

Education

Georgia Institute of Technology

Master of Science in Analytics, GPA 3.8/4.0
  • Computational Data Analytics concentration
  • Coursework: Algorithms, Data Mining, Deep Learning, Machine Learning, Optimization, Time-series Analysis
August 2018 - December 2019

London School of Economics

Bachelor of Science in Economics, First Class Honors
  • Econometrics and Mathematical Economics concentration
    • September 2015 - June 2018

    Skills

    Certifications

  • AWS Solutions Architect Associate, AWS Certified Cloud Practitioner, Microsoft Azure Fundamentals
    • AWS Solutions Architect Associate
    AWS Cloud Practitioner
    Azure Fundamentals

    Programming Languages

  • JavaScript, Python, R, SQL, Scala, STATA, Tableau

    • Data science modeling experience

  • Bayesian Network, CART, Clustering, Neural Net, PCA, Regression, Time-series

    • Languages

  • English, Mandarin Chinese

    • Awards

    Master Data Science Competition

    First runner-up, US$ 5000 cash prize
    • Led team of three to identify key growth areas and drafted business plan for major auto parts company using clustering techniques
    • Commended by panel of senior executives and data science professionals for innovative approach of segmenting by weather needs across regions
    January - March 2019

    Collegiate Cup Hackathon

    Georgia State Champion, US$ 750 cash prize
    • Led team of three to conceptualized state-wide strategy to improve technology access for under-served communities
    • Performed detailed analysis of pain points faced by various stakeholders and designed targeted approaches, combining long and short-term strategies
    January 2019

    Interests

    Home chef

    steak
    salmon
    lamb
    scallops
    pork chop
    ribs

    Volunteering

    Georgia Tech Master's in Analytics program mentor
    • Advised new students on career choices and course options during weekly meet-ups
    Project Access Mentorship Director
    • Project Access is a non-profit helping less privileged backgrounds apply to top universities by matching them with student mentors from top universities
    • I designed and maintained the mentorship platform for 5,000+ applicants and student mentors and assisted more than 100+ students in gaining access to top universities