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Software Engineer (specialty in data analytics)

Apex, North Carolina, United States
April 24, 2018

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*** ******** **** *** **** • Cary, NC 27513 • 612-***-**** • • •


Master of Statistics

University of Minnesota, Twin Cities, MN

May 2017

Related Coursework: Advanced Regression Techniques, Design of Experiments & Mixed Effects Modeling, Statistical Computing, Corre- lated Data Analysis, Statistical Consulting, Survival Analysis, Intro to Bayesian Analysis, Principles of Database Systems.

Bachelor of Mathematical Science, minor in Statistics

National Chengchi University, Taipei, Taiwan


ChannelAdvisor (an e-commerce company), Predictive Analytics Team Software Engineer (specialty in data analytics)

June 2013

July 2017 - Present Morrisville, NC

• Explore techniques for product demand forecasting, time series anomaly detection, product categorization classification and products network analysis (focused on large-scale analysis).

• Create R packages to implement statistical methods and machine learning algorithms into production software to serve 10,000+ customers and 900,000+ products.

• Write SQL query to perform ETL on database and do data cleaning and processing using R.

• Execute pair programming, detailed code review, code debug and unit testing.

• Provide product sales data insight to product management team using R Shiny visualization tools. Present and

interpret model results to database manager and product manager in regular meetings.

DiDi Chuxing (a company similar to Uber or Lyft),

Big Data Structure and Real-Time Monitoring Unit October 2016 - January 2017 Home-based Model Consultant Cary, NC

• Provided guidance on automatic forecasting models for car requst order forecasting and anomaly detection.

• Summarized relevant literature and operating procedures for internal research.

Statistics in the Community (STATCOM), University of Minnesota November 2014 - June 2016 Officer & Statistical Consultant Minneapolis, MN

• Ran the organization to serve 40+ graduate students and 10+ nonprofit organizations.

• Constructed and managed the official website:

• Provided statistical consulting services to local non-profit organizations by applying statistical techniques.


Web Scraping Project: Increase the efficiency of job searching process February 2017 - May 2017

• Scraped job descriptions from job searching websites (Indeed, Monster, and CareerBuilder) using Python libraries including bs4, requests, numpy.

• Decreased executing time for 1,000+ job positions from 1 hour to 5 mins by applying parallel computing library multiprocessing.

Masters Thesis: Analysis of Size-biased Mitochondria Data February 2016 - May 2017

• Identified the problem that the current sampling scheme of mitochondria data did not fit the random sample assump-

tion of many classic statistical method.

• Executed statistical simulation on finding the best estimate for the size-biased data in R.

• Conducted Permutation Test on the best estimate and constructed Bootstrapping confidence interval.


Dr. Lawrence Thibodeau Fellowship in Statistical Consulting March 2015 (Award for outstanding graduates in applied statistics)

Student Representative for the School of Statistics Advisory Committee November 2015


• Multiple hands-on experience in applying statistical methods/ machine learning algorithms to real-world problems.

• Programming Languages : R, Python, SQL, Git, Linux/Unix Command, LATEX, Markdwon, HTML.

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