• Developed an EDM recommendation ensemble model (Bias SVD + XGBoost), resulting in a 10% improvement in email open rates.• Built KPI and operation dashboards, leading to recognition as the 2022 Best Employee.• Designed an ink forecast model to help product managers optimize ink procurement.• Utilized a collage model to assemble new images from company picture materials based on descriptive input.• ETL printing volume data from AWS S3 and integrated Teams to monitor the data pipeline.• Identifying the print trends and tagging the values of customers gave sales useful insights.

• Utilized XGBoost to assess the value of offline scooters and generated battery swap priority.• Developed an LSTM model to forecast rental demand based on user app events, enabling a better understanding of the fulfillment rate in each operational region.• Evaluated the value of parking lots, deprecated the unused for cost down, and identified potential places for better user experience.• Collaborated with colleagues, building a data warehouse, and data mart.• Applied Airflow to ensure the stability and accuracy of data.• Cooperated with the operation team and developed a scooter idle time dashboard which effectively improved the service level.

• Crawled articles from various websites and built an NLP ensemble model: Text-CNN, Logistic Regression, and LightGBM, achieving an accuracy of around 91%.• Analyzed article content to calculate content similarity, then recommended related articles to readers, which improved click rates and page views.• Integrated Google Analytics data, exported it to BigQuery and visualized it using Data Studio to help company partners grasp website traffic.• Advertising optimization, analyzed the performance of different kinds of advertisements to the business department to sell ad slots.

•Developed user segmentation and assisted clients in managing their CRM.•Implemented XGBoost to identify the most likely customers for purchase and used Cosine Similarity to recommend product categories of interest, resulting in a 4% improvement in the repurchase rate.