▪ Satisfied data request from other teams, such as constructing seller management weekly tracking system.▪ Developed website crawlers for competitors’ daily performances and conducted external product automapping.▪ Cooperated with Shopee Mexico for product organization and clustering by K-means, DBSCAN approaches.▪ Managed scheduled workflow on Airflow DAGs, increasing working efficiency up to 40-50%.

▪ Fetched logistics relative data by accessing real-time database and built up auto tracking system.▪ Created order projection for potential rental stores based on nearby convenience stores for expansion team.▪ Supported logistics data analysis for daily operation and reported issue cases to internal functions.

▪ Optimized and compared algorithms between Information Directed Sampling, Upper Confidence Bound, and Thompson Sampling by Python for solving Multi-Armed Bandit online pricing problem.

▪ Cooperated with international DevOps team members for product achievement and business purpose.▪ Developed front-end visualization on the main product page by JavaScript and accomplished version control by Git.▪ Processed AI-core raw data, defined data standard schema, and tune different algorithms for sport analysis.

▪ Optimized ML models for E-commerce recommendation system to achieve the precision marketing.▪ Implemented SQL and Python for data processing and gain insights based on Google Analytics metrics.▪ Collaborated with Commercial Development team to enhance the quality of SEO by text mining.