Seven years deep in the niche of pulling data out of websites that don't want to give it up. Day-to-day in R + Chrome, with Python and SQL filling out the toolkit. Most of the work is automation — taking manual click-through workflows that used to fill weeks down to scripts that finish in minutes, typically at order-of-magnitude speedups. Comfortable across the full stack from extraction through reconciliation, predictive modeling, and dashboards. The part I actually enjoy is the puzzle of scraping sites that weren't built to be scraped — forms to fill, AJAX responses to parse, sessions to manage.在从不愿放出数据的网站中提取数据这一细分领域深耕已有七年。日常使用R + Chrome，Python和SQL作为补充工具。大部分工作是自动化——把过去要花上数周的手动点击流程压缩成几分钟内完成的脚本，效率通常提升一个数量级。从数据提取到核对、预测建模、看板，全栈都能驾驭。我真正享受的是攻克那些没有设计成能被轻易抓取的网站的难题——填写表单、解析AJAX响应、管理会话。在從不願放出資料的網站中擷取資料這一細分領域深耕已有七年。日常使用R + Chrome，Python和SQL作為補充工具。大部分工作是自動化——把過去要花上數週的手動點擊流程壓縮成幾分鐘內完成的腳本，效率通常提升一個數量級。從資料擷取到核對、預測建模、看板，全端都能駕馭。我真正享受的是攻克那些沒有設計成能被輕易擷取的網站的難題——填寫表單、解析AJAX回應、管理工作階段。