Emily Chen Email & Phone Number

Sunnyvale, California, Us

Santa Clara, California, Us

• Led a data science team building advanced analytics/AI based tools and insights for Intel’s global marketing and partnering sales/BU groups, with a focus on sales and marketing priorities, including optimizing marketing impacts and efficiency, elevating corporate brand and tech leadership, and growing sales pipeline through advanced analytics. • Key Accomplishments: Created and executed a data & analytics strategy roadmap through a multi-year journey; Built several advanced analytics capabilities from scratch (marketing mix modeling, KPI modeling, propensity model, NLP analytics) for marketing strategy planning and execution; Developed first in-house marketing attribution model and optimization tool for marketing budget planning; KPI impact and mix modeling helped Marketing KPI planning and target setting, and plan alignment across marketing, sales, and BU; Machine learning algorithm based top influencer analysis adopted by social marketing and PR outreach programs for company’s tech leadership strategy; B2B propensity to buy model developed for account planning and demand gen program; Customer cross-device telemetry analysis used for product strategy planning. • Team's work received industry recognition (I-COM Data Creativity Award Winner - Attribution Category, ANA Genius Award Finalist - Data and Analytics Innovation Category).

Sunnyvale, Ca, Us

• Blue Coat was a leading cybersecurity and network solution company, recognized by Gartner as a market leader in enterprise security.• Emily's role was building center of excellence analytics and data science for cross functional teams (Marketing, Sales, Product, company executives and board), delivering actionable marketing intelligence and customer insights to generate demand that delivers sustained pipeline growth, leading and executing analytical strategies for Marketing/Sales/Product, delivering web analytics implementations and multi-channel testing initiatives. • Key accomplishments: Delivered algorithm driven lead prioritization to regional field marketing and achieved multi-million pipeline creation and high conversion rate; Delivered predictive lead scoring analysis to refine lead scoring model and increase lead conversion rate; Created a white space analysis for product install base and identified $50M pipeline opportunities through product cross sell; Created a customer intelligence tool for sales enablement; Provided critical market penetration analysis to company executives and board for the company’s plan to return to public market; Established web banner performance and ROI analysis for digital marketing, and identified areas to enhance the company’s website and paid search strategies; Created machine learning based buyer persona framework for key initiatives including marketing targeting segmentation and persona acquisition strategies

San Jose, Ca, Us

• Worked with consumer/merchant/multi-channel marketing teams to develop and execute close loop marketing analytics (marketing strategizing, campaign experiment design, list pull, measurement and insights) in the areas of CRM, digital marketing (paid search, display), web and offline acquisition, activation, cross sell, upsell, and retention. • Key accomplishments: Established consistent experiment design and ROI-driven marketing measurement framework to enable campaign operation benchmarking and prioritzation; Enhanced targeting strategies with advanced modeling for offline SMB marketing campaign and increased product sign up rates; Helped SMB team optimize digital marketing investments with enhanced CPA and ROI analysis.

San Jose, Ca, Us

• Worked with regional and corporate stakeholders to develop strategies from analytical insights, and delivered a set of strategies and action plan in the areas of merchant pricing, merchant churn and decline prevention, P2P strategy, business onboarding funnel performance, KPI development and target setting. • Key projects: Measured network effects for P2P marketing campaign, developed customer segmentation and outreach test for customer churn prediction and prevention, created comprehensive customer onboarding funnel performance tracking and action plan, published merchant onboarding whitepaper and other analytics synthesis.

San Jose, Ca, Us

• Led PayPal’s Loss Forecast team (within Risk Management), responsible for producing PayPal’s official transaction loss forecast through a robust monthly transaction loss forecasting process, which includes complex algorithm based modeling, cross-functional updates for all loss impacting strategies, attribution of variances through root cause statistical analysis, and monthly communication of results to senior executive management with clear and actionable business insight. • Key accomplishments: Created a set of new loss forecast models with more granularity and analytical insights, and established a solid regional loss forecast process (in addition to global level forecast) within a tighter corporate deadline, which enabled timely and accurate loss forecast guidance for regional business units.

San Jose, Ca, Us

• Managed a team supporting PayPal’s Business Performance Analytics (within Risk Management), responsible for measuring PayPal’s transaction loss trend/emerging threats and key drivers, conducting deep dive root cause analysis, and providing monthly readouts to senior executive management with mitigation and monitoring plan. Also responsible for analytics supporting PayPal’s new ventures (Digital Goods, Mobile, Development Platform, etc.). • Key accomplishments: Established PayPal Risk Management’s monthly Holistic Monitoring tools and process, which enabled Risk Management with quicker response to emerging trend/threats.

San Jose, Ca, Us

• As a key project lead in PayPal’s Behavior Analytics team (within Risk Management), leading cross-functional projects to identify and quantify new and evolving fraud threats, creating rule based strategies to detect and mitigate intentional fraud, and executing on strategy implementation and performance evaluation. • Key accomplishments: Led several fraud detection projects to identify ‘collusion fraud’, ‘intentional bank return fraud’, and ‘spoof fraud network’; worked with cross-functional teams to create models/rules to detect and prevent these fraud behaviors, which resulted in more than $30 million annual loss saving.

London, Gb

• Worked in HSBC’s credit card portfolio management team, responsible for managing end-to-end analytics and strategies for billion dollar credit card portfolios across Sub Prime, Near Prime, and Prime/Super Prime segments. • Responsibilities included developing customer risk and behavior segmentation, creating pricing and product strategies, designing and implementing A/B tests, and evaluating full P&L for marketing campaigns (balance transfer, credit line increase, activation, etc.). Also responsible for producing decision tree based strategies and performance monitoring for loss mitigation programs (credit line decrease, risk based pricing, etc.).• Promoted from Analyst to Sr. analyst

Us

• Worked in Marketing department, responsible for performing statistical analyses/ MIS reporting for account acquisition and portfolio management marketing campaigns

Master, Ag And Resource Economics

Bachelor, Economics