Jun(Kevin) She Email & Phone Number

New York, Ny, Us

San Francisco, Ca, Us

• Part of the Tubi TV Product Data Science team to use qualitative analysis, datamining, data modeling, product experimentations to develop product strategies for user registration, engagement, conversions and retention to improve linear and VOD streaming products across mobile, web and OTT platforms• Conduct exploratory, opportunity sizing analysis and design product experimentation or A/B tests, create dashboards and deep dive analysis toanalyze and synthesize test results, present recommendations to PMs and other stakeholders to drive product decisions

Seattle, Wa, Us

• Part of the Amazon’s Performance Advertising Demand Generation team and in charge of all the analytics and reporting needs for ads products such as Sponsored Display, Sponsored Brands, Stores products etc.• built data pipeline through SQL, ETL, Redshift queries, built multiple data sets and automated WBR/MBR and ad-hoc dashboards using Excel, Power BI, Quicksight, Tableau etc• Work closely with Product Marketing Managers, Product Managers, Account Managers, Business Integllience Engineers and senior leadership with the brand funnel optimization, user cohort analysis, market campaign performance improvements, cross product adoption etc

Seattle, Wa, Us

• Part of the Live Events Sports team within Prime Video Channel in charge of building all data pipeline, dashboards using SQL, ETL, Tableau and conducting product, user, business analytics for all live events streaming on demand and subscription products such as NFL(Thursday Night Football) MLB.tv, NBA league pass, PGA tour live, AVP etc.• Deep dived into the subscription/consumption data, built multiple annual year review/Strategy docs for products as NFL, NBA, PGA, MLB and conducted various analysis such as product performance, subscriptions, consumption, cohort churn, user cancellations/retention, demographics, geographic, forecasts etc to drive user engagement and user subscriptions

Walldorf, Bw, De

• Part of the Product Management and Business Insights team within SAP and focus on data modeling, business analytics, dashboard reporting in for SAP’s HCM cloud SaaS products and present insights and recommendations to stakeholders• Design, build and automate data visualization dashboards and reports and track KPIs using advanced Excel models, PPT, Tableau, SAP Analytics etc. for Product/Sales/Operation teams and Executives on regular and ad-hoc basis • Doing statistical and quantitative analysis for customer tickets data based on various metrics such as case volume trend, top issues, case processing time and provide product improvement recommendations• Design, build forecasting/regression models for weekly user/transaction growth, 90%+ accuracy• Provide non-technical teams, such as finance, sales, operations, marketing, customer support with data-driven ad-hoc analysis

Purchasing and supply chain analysis, demand forecasting etc.

Memphis, Tn, Us

• Aggregated web data from multiple source, analyzed and presented data using Excel in a standard format• Worked on the SEO project and used Google Analytics to improve the site traffic by approximately 15%• Collected, organized data through 500+ surveys and presented statistical report about how to increase site traffic

Columbus, Ohio, Us

• Researched market segment, conducted product segment analysis and developed marketing strategies for a medical software• Presented business to more than 10 hospitals in US and China and big companies like AEP, Oracle, IBM, Nationwide, Chase• Conducted final presentation about findings, recommendations and business plan to more than 30 investors and capitalists

• Used systematic process to research transportation sector in US and communicated with supply chain industry• Contacted more than 15 transportation associations and conducted professional business survey• Searched industry experts, read industry news and reports from Yahoo finance, Bloomberg, WSJ, Marketwatch, etc and generated a professional report using excel spreadsheet for investment banksbanks• Built huge business report with large amount of data in Excel and presented analysis, findings to senior managers and clients

• Visited suppliers’ plants, talked to their managers and negotiated with suppliers about purchasing orders and pricing• Used Excel to record purchasing order and analyzed costing structure, saved $10,000 per month by reorganizing orders• Forecasted the demand based on past sales history, planned purchasing order and manufacturing plan

Master Of Science In Information System (Msis), Management Information Systems, General

Bachelor Of Science In Business, Supply Chain Management

Exchange Student