Growth MarketingUser Acquisition, Statistical Analysis, Design Experiments, MCA Reporting, A/B Testing, PPC, Paid Social, and Machine LearningPaid Advertising:Display Video, User Acquisition, Retargeting, Podcast, Google, Google Shopping, Bing, Yahoo, Amazon Text, Paid Social, Programatic Display, Display Re-targetingHaving served more than 19 million customers in 150 countries, Art.com Inc. is the world's largest online specialty retailer of high-quality wall art and complementary décor. The company was founded in 1998 with one goal – to help people find the art they love so they can love their spaces more. We've since increased our assortment to more than 2 million images and expanded who we serve to include national retail partners, museums, hotels, interior designers and more

• Optimize campaigns performance and increase ROI to 600%+; manage hundred million revenue accounts through Google, Bing Ads, and Yahoo Gemini• Conduct experimental A/B split testing on landing pages for search/shopping campaigns to determine the best performing landing pages• Establish and manage the portfolio of 55+ Million keywords across Google, Yahoo and Bing• Work closely with SEO team to maximize page visibility and keyword ranking; provide top performance KWs to SEO resulting in improved 20%+ organic conversions• Worked cross-functionally with SEM, SEO, Feeds, Email, Affiliate, and Social; conduct in depth analysis for new products• Manage Comparative Shopping Engines(CSEs) such as Amazon Product Ads, Pricegrabber.com and Shopping.com (eBay); add new products/feed into the accounts• Strategically plan and execute Peak Optimization; resulting in increased revenue by 200%+ • Initiate Holiday Peak projects and successfully increase traffic, conversions, and revenue; ensured all campaign and seasonal content is ready and launch on time • Work closely with account managers to build Search, Display, and DSA campaigns for 2016 Election Products; expand new tags/products of different Political Parties into accounts resulting in increased revenue by 250%+• Add sitewide promotion for campaigns through Snippets in order to drive more traffic and conversions• Manage 20 Million+/yr PPC budget to efficiently drive traffic and conversions to top Internet Retailer in both Domestic and International Domains• Pioneer Launch and strategically into grown Google and Bing Product Listing Ads (PLAs) to over 90 Million product using SQL and Python; collaborate with engineering team to make sure we have accurate price update and good image quality for PLA• Create weekly, monthly, and ad-hoc reports which contains paid search performance and trends to CMO, CEO, Online Acquisition Director, and Manager using R and Advanced Excel

SmartZip Analytics is a national leader in predictive marketing solutions for the real estate industry. By applying varieties of predictive modeling to massive data related to homes and homeowners, SmartZip helps clients identify homeowners who are likely to sell or list their properties; therefore, Realtor and agents can focus on their business. • Contributed to real estate analytic including Home Price Index(HPI) tracking housing market trends, and Automated Valuation Model (AVM) to measure the property price• Built statistical models using varieties of machine learning methods such as Clustering, Logistic Regression, Random Forest, SVM, and Bayesian Regression• Integrated big data through relational database and directly provide AVM benchmarking results• Investigated Gain Index, Drop Index, and Recovery Turnover of HPI and Transaction with large data• Implemented Machine Learning Methodologies for real estate models with multivariate regression using R• Conducted analysis for the Marketing Team with results of GCI, Property Owned, and Sales Turnover• Applied Odd Ratios to conduct Client Retention Analysis with Sales Team• Researched and enhanced predictive models to assess predictive accuracy and improve marketing analysis• Implemented a varieties of SaaS metrics to track client retention rate and evaluated Business Key Performance Indexes; generated computational and visualization reports for C-Level Executives• Worked with the Brand Marketing, Client Operations, Engineering, Sales, and Product Teams to discuss product initiatives and incorporate big data analytics into the business decision• Investigated the reasons causing low prediction performance and figured out different methods to improve the results

• Assisted customers with questions and concerns in a professional manner• Kept strong knowledge of products, pricing plans, promotions, service features, and promoted appropriate sales• Handled service inquiries and courteously resolved customers’ complaints• Managed customers' portfolio and updated customers' information