Oct 2024 – Dec 2025 · 1 yr 2 mos

Mar 2021 – Oct 2024 · 3 yrs 7 mos

• Working with teams to build data science products, including propensity scoring, linkage mapping, and forecasting models

Oct 2020 – Mar 2021 · 5 mos

May 2018 – Sep 2020 · 2 yrs 4 mos

• ● Built and productionized classification models to facilitate accurate marketing and in-product targeting across different business units
• ● Defined the true north metric for Premium member value, enabling the Premium team to measure, report and improve Premium member experience
• ● Initiated new products and features and supported A/B tests to grow LinkedIn's premium user base and improve retention
• ● Explored opportunities for new initiatives to drive Premium business through deep-dive analysis

May 2017 – May 2018 · 1 yr

• Built xgboost models to support various email campaigns
• Drove business decisions on content strategy, degree sourcing, platform improvement, and marketing by analyzing degree applicants’ demographic and behavioral information
• Built notebook and shiny apps to monitor specialization and degree recruiting performances

Oct 2015 – May 2017 · 1 yr 7 mos

• Propose and execute pricing strategy changes
• Quarterly report of performance for different business units to executive teams
• Supervise statisticians and analysts for projects involving the origination process

Aug 2014 – Oct 2015 · 1 yr 2 mos

• Pricing Strategy recommendations with predictive models and simulation
• Proposed and monitored pricing strategy tests
• Trained interns and junior statisticians on modeling techniques and business analysis

Jun 2013 – Aug 2014 · 1 yr 2 mos

• Built statistical models to evaluate risk
• Monitored origination metrics and ran the monthly report

Jul 2012 – May 2013 · 10 mos · Durham

• Building and testing the infrastructure for data storage and management
• Designing Access forms to facilitate data entry and minimize human errors
• Interfacing with remote clinical databases for data extraction, cleaning and import
• Programming the extraction of data from the study database and analyzing the data with R and SAS
• Utilizing various statistical models to answer clinical related statistic questions

Jan 2012 – Jun 2012 · 5 mos · Chapel Hill

• Developed and Maintained website for Carolina Health Information Program
• Worked on Natural Language Processing and Machine Learning project.

Sep 2009 – Aug 2011 · 1 yr 11 mos · Raleigh-Durham-Chapel Hill Area

• Identified several new genes involved in neural stem cell development through analyzing microarray data and literature research
• Developed In situ hybridization protocol and identified expression patterns of the genes involved in neural stem cell development