Emma Zhou Email and Phone Number

Leading a team of Data Scientists, Marketing Analysts and Engineers to build data applications and statistical solutions for Corporate and six Business Units across BSCI to enhance marketing strategies and optimize marketing resources. Key projects include Marketing Chatbot, Watchman NBA MLOps, MMM UI Application, MTA Workstream, Lead Scoring Propensity Models, Campaign AB Experimentation and Measurement, Segmentation, Funnel Analysis, Lifetime Value etc

Management of scalable solutions in data science and engineering, building a strong rapport with cross-functional teams, recruitment, team building, and training under the Global Business Intelligence Group■ Lead a team of six engineers and scientists to work on ML and engineering projects using agile methodology■ Applied OpenAI’s GPT4 on Microsoft Azure in a company-wide hackathon to provide sales meeting summaries based on historical client interactions and activities. Our novel solution won 1st place■ Managed the development of MLOps for propensity models that involve model training, model selection, hyperparameter optimization, and scoring on Databricks that serves email campaigns and leads on Salesforce■ Collaborated with the infrastructure and database team on the planning and execution of robust and scalable model feature store system as well as data drifting detection procedures that leverage Snowpark and DAG orchestration in Snowflake ■ Partnered with Sales and Marketing stakeholders to analyze the multi-channel attribution components of corporate sales, to assist with decisions on sales territory design, and to optimize the approach of human and digital interactions with clients■ Built the analytical framework for Fixed Income product segmentation and regression modeling to identify actionable strategies for core and core plus bonds, and presented in front of investment and strategy leaders■ Worked closely with Digital Technology to improve the quality of leads on the Lead Engine in Salesforce that recommends the next-best customers using statistical modeling and a reporting approach in Tableau■ Facilitated technical modernization that migrates ETL and statistical modeling processes such as Lifetime Revenue Model, Call Center Forecasting, and Asset Persistency to cloud platforms while ensuring pipeline efficiency and cost optimization

Management of analytics projects such as performance reporting, client relationship, automation framework, ETL design, and big data enablement for multi-channel marketing campaigns and personalization projects■ Managed the analytics talents onshore and offshore, collaborated with leadership to create budget plans, devised strategic direction, and took ownership as the main point of contact between internal and external stakeholders■ Initiated and managed creation and improvement of BASH shell-supported ETL automation processes in SAS and SQL for campaign production scoring, and performance reports of eight lines of businesses■ Designed and delivered data architecture solution for Brand Segmentation in the Oracle database, where Tableau data cubes are hosted that support the visualization and analytical function of the client■ Performed ad-hoc reports in Tableau including customer profiling, behavioral analysis, product acquisition and attrition using Python and SQL to uncover insights and business opportunities for engagement, loyalty enhancement, and cost saving■ Created automated audit reports that examine data feeds of Oracle database to ensure data integrity, and guided analysts to regularly monitor and clean space on Unix server to ensure performance of projects

■ Performed research on data usage and structure during initial build of the database, and provided analytical content in sales■ Collaborated with strategic enablement team, technology team and database admins to manage data logistics so as to enable project execution, including data transfers, data structures, and business rules consolidation■ Participated in building a production scoring process for marketing campaigns, campaign measurement reports, and solutions for in-store personalization projects that uncover up-sell and cross-sell opportunities■ Developed customer portfolios to perform cohort analysis, and shared key observations to internal and external stakeholders

Development of data-driven lead generation SaaS products to provide accurate target marketing and sales for elite wealth managers and financial advisorsTools - SQL, SQL Loader, PowerShell, Batch, Excel, JS, HTML, Google Analytics, HEAP■ Collaborated with sales, CRM, research and business analysts in redesigning the front-end & back-end core logic for wealth products by initiating sessions of demos to maximize knowledge share and communication ■ Maintained the Oracle database by regular deduplication and updates of datasets consisting millions of records using SQL ■ Ensured the data integrity and consistency across products and multiple dimensions within the products including the search engine, workshop, download functionality and email alerts with effective use of index, filters and links■ Expedited data delivery efficiency by hours and up to 3 business days using automated ETL processes with data(txt, csv, xml formats) from researchers and various online resources(http, sftp and ftp) using Batch, PowerShell and SQL Loader■ Created upload tools, matching process and email alerts for over 3k clients to generate leads of interest with informative executive or company profiles using HTML, JavaScript and SQL■ Built usage reports containing demographics and metrics of user behavior, then provided summary, trend analysis and visualization to help clients and the CRM team improve customer retention rate by 30% using SQL and Excel■ Improved user experience by customizing territories, designing page frames, adding pop-up notifications and providing sorting functionality using HTML and Config files■ Conducted digital marketing analytics on the profitability of HEAP implementation, and recommended action was adopted

Designed the architecture for the online data visualization of the breaking news Je suis Charlie in France

Linguistic Data Analysis on aesthetic recognition pattern at Teachers College

Johnson & Johnson Project Team