Lillian Lo

About Lillian Lo

14+ years of analytical consulting experience in client engagements across multiple industries, including hospitality, media, automotive, service retail, airlines, cruise lines, ocean freight, telecommunications, and insurance. Proficient in design, prototype, and implementation of predictive and machine learning models in R, SAS, and SQL that meet business and functional requirements.Lillian currently acts as a data science lead in AT & T Chief Data Office, where she leads a team of data scientists/engineers and works with business clients in Field Services, Product Engineering, and Customer Care to collaborate on initiatives across the company.Prior to joining AT & T, Lillian worked for Revenue Analytics, where she led innovative solution design and engaged with clients to solve forecasting, pricing, and revenue management problems. Previously, Lillian worked for Travelers Insurance, where she was responsible for direct-to-consumer marketing analytics, including designing and analyzing direct mail and online marketing campaigns, building response and conversion models, and modeling customer lifetime values. Before joining Travelers, Lillian worked at JDA Software as part of the air cargo product development and consulting team.

Experience

1. Data Science Lead Expert Data Scientist

   AT&T

   Feb 2018 — Present · Atlanta, GA, US

   Lead a team of data scientists and software/data engineers to deliver data science solutions Lead and manage six data science projects simultaneously Provide mentoring and technical guidance on data discovery, machine learning model design, and implementation Perform quality assurance of the outputs from the team Translate raw analytical results into business insights and present to executives Partner with Field Services, Product Engineering, and Customer Care teams to collaborate on initiatives across the company Analyze field technician narratives and classify unnecessary dispatches using natural language processing and machine learning techniques Design a product configuration recommender model to proactively detect and solve customer issues Work with recruiters to source and interview candidates to expand the team

Education

• Georgia Institute of Technology

  M.S., Statistics

  2006 — 2008

• Georgia Institute of Technology

  Doctor of Philosophy (Ph.D.), Industrial and Systems Engineering

  2006 — 2010

Skills

• Statistical Modeling
• Predictive Modeling
• Marketing Analytics
• Minitab
• Organic Revenue Growth Strategies
• Predictive Analytics
• Price Elasticity
• Business Analytics
• Forecasting
• R
• Sql
• Management Consulting
• Vba
• Business Intelligence
• Sas Programming
• Analytics
• Matlab
• Big Data Analytics
• Data Mining
• Statistics
• Simulations
• Spss
• Pricing Strategy
• Sas