PROFESSIONAL SUMMARY

  • 9+ years’ experience as data scientist, predictive modeler and advanced analytical professional
  • Proficient with R/Python/SQL/SAS/Tableau/Git/SVN/Microsoft office/Linux environment
  • Familiar with collaboration working environment
  • Skilled in communicating analytical results to broad audiences
  • Active learning modern data science technology; think independently and keep improving model performances

TECHNICAL SKILLS

  • Modelling: Linear Regression (GLM/Ridge/Lasso), Clustering (SVM/Decision tree), Time series (ARIMA/LSTM), Neutral network (CNN/RNN), Vehicle routing problem (VSP/TSP), survival analysis
  • Tools: SQL, R, Python, SAS, Git, SVN, Tableau, Bash script, Linux/Unix/Mac/Windows OS

WORK EXPERIENCE

Senior Manager of Predictive Analytics and Optimization, Hub Group, May 2017 ~ Present

  • Provided advanced analytical analysis to support tactic business decisions and recommend future growth direction
  • Explored various models (ARIMA/LSTM/Neutral network etc.) to predict future demand and pricing trend
  • Developed the automatic routing system with the target of balancing network flow, reducing order turnaround time and maximizing assessment utilization
  • Supervised team members; communicated model observations to various business departments

Multiple Positions (Manager/Senior Analyst of Analytics), United Airlines, Sep 2012 ~ May 2017

  • Performed as an internal consultant to provide analytical support for various departments within the organization
  • Implemented the revenue management prototype to predict future revenue performance/evaluate different pricing/promotion strategies; the prototype includes demand estimation, cancellation forecast, routing optimization
  • Built various statistical/operation models, such as fraud booking alert, customer segmentation, cargo routing etc.
  • Designed/maintained automated dashboards to report/track KPIs for different business departments
  • Reported analytical results and business recommendations to multiple levels of management

Research Assistant, Purdue University, Aug 2007 ~ Aug 2012

  • Developed time series/Monte Carlo mixed models to test hypothesis and explained the principle of photosynthesis
  • Investigated potential materials and designed computational algorithms for quantum computer

VOLUNTEER EXPERIENCE

Referee for Peer-Reviewers Scientific Journals, Jan 2012 ~ Present

  • Reviewed 60+ manuscripts; including journal with impact factor 14.6

Treasurer, Board of Directors, South Commons Condominiums, Chicago, IL Feb 2014~Dec 2016

  • Approve financial proposal ($6 million portfolio); evaluate operational projects; foresee future development

EDUCATION

  • Ph.D. in Computational Chemistry, Purdue University, West Lafayette, IN Aug 2012
  • Master in Applied Statistics, Purdue University, West Lafayette, IN May 2012
  • Applied Management Principle (mini-MBA), Management School, Purdue May 2010