Emily Cheng Email & Phone Number

Houston, Texas, Us

Sunnyvale, Ca, Us

Built and led a team of high performing Data Scientists and provided end to end analytics support to Linkedin Learning Org including Product, Engineering, Marketing, Sales and Learning content teams.

Sunnyvale, Ca, Us

• Started as the first Data Scientist to support Sales solution product and marketing.• Built a team and helped launch Linkedin Sales Navigator product. Example of contributions: provided ramp recommendation using A/B testing; Built a predictive model to detect early signals of churn. Homepage redesign deep dive analysis.• Promoted from Sr DS to Manager in October 2014 and to Sr. manager in Apr, 2016

Sunnyvale, Ca, Us

Helped launch Linkedin Sponsor update product. Focused on providing scalable solution for field sales team. Promotion: April 2013 Sr. Associate October 2014 Manager April 2016 Sr. Manager

Sunnyvale, Ca, Us

> Focused on increasing engagement in two key areas for LinkedIn: social communication (homepage, news feed, email), content (news, groups). Examples of analysis included A/B testing on Linkedin new homepage, evaluation of new group products and groups digest response rate analysis. > Used SQL, Pig and Tableau to create dashboards that track key metrics to measure product performance and member engagement. > Performed deep dive analysis to fundamentally understand our members' experience on the site. Contributions to date include deep dive analysis on Linkedin sharing eco system.

San Francisco, Ca, Us

> Performed ad hoc analysis to support media planning team. Contributions included evaluation of direct mail campaign, validation of Esurance advertising brand equity and simulation of media effectiveness decay over time. > Built a media model to help media planning team make media buying decision. The model has also played a key role in evaluating the effectiveness of Esurance's new advertising campaign launched in June 2010.> Implemented weekly media responsiveness prediction report and monthly media performance report. Automated reporting procedure using MS EXCEL pivot tables and VBA Macros.

New York, Ny, Us

> Developed a credit card activation model to predict prospects’ activation rate using logistic regression techniques. The new model is 4 times better than the champion model. Implemented the model in SAS for scoring system.> Validated multiple existing credit risk models and improved their performance.> Focused on customer engagement and retention. Generated standard monthly performance reports of retention unit using SQL, MS EXCEL pivot tables and VBA Macros. Tracked financial and operational results versus goals. Identified improvements of various potential strategies.> Performed ad hoc analysis to support inbound retention unit using SAS and SQL. Contributions included validation of Economic Fail criteria, implementation of a new call ranking to improve profitability in low advisor capacity situation, and evaluation of enhanced depricing strategies for high-value retail customers.