1. Developed a new acquisition strategy according to the in-depth evaluation of different channels. Increased revenue by 50% YoY.2. Collaborated with the engineer team to build an A/B test system. Increased the click rate by 30% - 136%.3. Proposed a new feature to push the most popular articles in the past to new users to increase the retention, based on on-going analysis of click rate.4. Used Python to build a recommendation model.

Built a team of 4 analysts from the ground up.1. Consolidated the business needs from Marketing team, Product team, Operation team and Content team. Used Tableau to build the dashboards, and automatically sent KPIs to the senior management team by email.2. Identified the opportunities to improve the Ads effect, user activation, purchasing conversion, and user sharing.3. Analyzed the user behaviors of a TV marketing campaign and proposed a special search result page for the key words in the APP to increase the retention.4. Built a forecast model to calculate LTV for different channels based on churn rate and ARPU.

Led 3 analysts to support the business of China, US, India, and Hongkong.1. Used Tableau to create dashboards to monitor the operations of different locales, which covered Traffic, Registration, Orders, Logistics, and After Sales. 2. Cooperated with the operation team and the engineer team to analyze the promotion effects and increased the conversion rates. 3. Used R to build a Random Forest model to predict customer purchases.

In Payment team to improve customers’ shopping experience.1. Created a database to store the data from the external vendors. After combined this external data with the inhouse data, we found that 50% of the failed Redirect orders never reached the external payment websites. This resulted in a new feature to automatically redirect customers to the external payment websites.2. Utilized the A/B test tool to increase the paid rate of orders by showing the different payment options in an appropriate sequence.3. Build a set of reports to monitor the performances of different payment processors in different Amazon websites. Made the failure rate of a new credit card processor declined from 30% to 5% in retail website.

Led 2 product consultants in Financial Systems team.1. Project management, including recruiting, project planning, schedule control, and progress reporting to the senior management.2. Basel III project for China Everbright Bank, including Regulation Rules explanation, ETL requirement, system customization, reporting procedure design.

Supported presale and implementation of Data Warehouse (DW) projects for banking industry.1. DW project for Card Centre, Bank of China1.1 Logistic regression model to predict the likelihood of a customer moving to a “bad” status, including requirement analysis and data preparation.1.2 Teradata CRM implementation, including requirement analysis, data mapping, data quality check, end user training, and marketing effect analysis.1.3 OLAP report development for Risk Management Department by using Brio.2. Inbound and outbound marketing integration for Call Centre of China Minsheng Bank, responsible for requirement analysis, data mapping, ETL, data quality.

Responsible for retail banking products.1. Simplified and standardized the Bankinsurance product, made the sales 10 times more than before.2. Launched the first trust plan (over RMB 100 million) in Beijing Branch, responsible for procedure design, system requirement, training for customer managers, and result analysis.3. VIP membership project, responsible for making business rules, coordination between head office and Beijing Branch, and monthly reports.