2C: Lead the adidas.com team to manage an agile product lifecycle — communicate with business and technical stakeholders to understand needs and generate solutions, develop product strategies to refine golden user journey, coordinate scrum team to deliver on-demand product iterations that matches business needs. Create cross-platform universal solutions for consumer engagement to benefit all DTC digital channels including APP and WeChat environment services.2B: Collaborate with both online and offline business units to cultivate private domain assets in WeChat by building internal SCRM platform, focusing on tagging, consumer profiling and segmentation operation.Identify product insights utilizing quantitative analysis and qualitative researches, deliver data reports and BI dashboards to track product performance, visualize findings and results into presentations targeting business audiences.

- Managed the recruiting platform recommender system project from research, idea development, roadmap design, implementation to success tracking.

Achievement: calculate a monthly, customer-level sales potential by product category, then use the identified potential to prioritize customer relationship management by generating automatic action items.-Established segmentation process for more than 17,000 stores using K-means clustering, built time-series forecasting models for sales volume and sales probability in Scala Spark with 71% and 80% accuracy.- Calculated store sales volume potential with KNN forward selection algorithm, identified the internal and external factors, generated actionable tasks automatically for sales managers to help push stores to their true potential.

Achievement: designed an end-to-end strategic plan to improve WDW's waiting time issue, built model to predict and optimize wait time, proposed a new feature/prototype for "Disney Genie"- Processed 4 years of daily wait time data for all parks in WDW, identified and visualized overall trend by park and rides, built machine learning models in R to predict wait time on different scales at 90% and 84% accuracy- Developed optimization model in Julia that reduced expected wait time by 42%, originated business plan for vacation planning feature in WDW App.

Achievement: helped the largest department store chain in South America to create a customer recommendation engine with machine learning models by evaluating customer and product affinity- Studied and cleaned 100GB of department store transaction and customer data in Python, mapped subcategories from each business unit to help client evaluate cross-selling potential within corporate group.- Developed recommender system model with collaborative filtering in KNN item-based, user-based and SVD approaches, derived CRM business solutions and suggested new promotion plan.

- Analyze company operations and sales data with with MS Excel & BI tools, transform data analysis into business decisions, feed data into P&Ls, financial models and set company KPI goals for different departments.- Prepare and update company deck and financial reports for ventures and investors, produce multiple reports with data visualizations for monthly sales performance to board members and hold internal presentation for different teams.- Assess and examine performance in each business sectors with deep analysis, identify possibility of improvements, discuss strategic plans and help the company to hit the sales growth from $30K to $350K/month.- Conduct research on product features, communicate with developers and product manager to design the requested functionality, create cohort analysis to monitor product-market fit.

- Assisted with the planning and executing the annual user conference, as well as event concepts and logistics, updated the staff list for 200 employees, administrated the packing of marketing collaterals for 350 clients; - Responsible for analyzing the surveys with more than 100 respondents, ranked the results according to different measures and reported them to supervisors; - Collected data from platforms like App Analytics, conducted several analysis using excel and produced meaningful results with pivot tables and illustrative charts;- Reorganized the storage of inventory in Marketing department as well as the company merchandizes, and designed a spreadsheet with sorted categories

- Prepared and designed weekly international newsletter about online sales and website re-lauch for the department and foreign branches; updated project performance on company's Wiki using Excel tables and Powerpoint slides- Collected online sales data from Google Analytics and Google Adwords, and transformed it into monthly report for the Spanish and Italian branches; - Managed to create the first English website for Belgian insurance company using Content Management System, and remodeled it with cross-selling features; conducted an individual online marketing research project “Future of Insurance”, and presented it to the whole department- Assisted other colleagues on daily basis; updated powerpoint for company presentations; participated and communicated with international colleagues regarding different projects in telcos, video conferences, and meetings