通过报告销售点及欧洲市场趋势，主动提出机票/酒店/火车票（F/H/T）产品优化建议（如深挖NDC采购、价格策略问题），协调采购团队库存分配、定价团队调价策略及增长团队活动管理。

主导西班牙与意大利市场战略，识别热门潜力产品及交叉销售机会。

牵头解决方案开发并协调多团队确保计划高效执行。

构建SQL查询并设计Tableau看板，为F/H/T采购团队和用户增长团队提供数据支持。
Providing proactive recommendations for corrective actions on Flight/Hotel/Train (F/H/T) products with reporting Point of Sales and Market trends in all EU markets, drilling down to reasons (e.g. NDC sourcing, gambling issue). The actions include inventory allocation of sourcing team, pricing team to formulate markup/down strategy and campaigns management of growth team.
Leading strategies and solutions of Spain & Italian markets, proposing opportunities by figuring out popular and potential F/H/T products and cross selling promotions.
Leading solution development and coordinating with related teams to ensure our plans and actions remain effective and on track.
Building SQL and designing Tableau dashboards delivered to F/H/T sourcing teams and user growth team to support specific data-driven solutions and insights.

基于玩家行为、道具估值、内容消耗及活动表现设计数值分析系统。

应用Python机器学习模型预测道具价值并分群玩家，支撑游戏经济平衡与精准营销。

开发新玩法时对应用内追踪器（如武器兑换、PVE金币奖励）进行特征工程。

基于GCP构建数据管道（BigQuery数据提取→Python清洗转换）。

Leading numerical system design and analysis based on gameplay behavior, item valuation, content consumption, and campaign performance.
Applied machine learning models via Python to forecast item values and segment players, supporting balanced game economy and targeted campaigns.
Performed feature engineering for in-app trackers (e.g. weapon redeems, coins award in PVE) when developing new playable content.
Built data pipeline via GCP including extraction from BigQuery, data transformation, processing using Python.