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我是蔡楓淋 總共有四年數位行銷及電子商務 0 ～ 1 經驗，策劃營運與媒體佈局，擬定年度行銷檔期及 D2C 規劃，投放數位媒體廣告（ Meta Ads、Google Ads、LINE LAP )並單一媒體百萬投放經驗，搭建完整漏斗佈局，注重數據成效分析與運用 CRM 分眾溝通，過往經營品牌電

回饋方案，並與公關、產品、設計、影音、廣告團隊跨部門溝通、協作。 市場調研及預熱： 以 問卷進行市場預熱與調查調查，同時創建 Chatbot 和 FB 社團以集結有感受眾。 曾替性平組織以 CPA $0.25、問卷完成率 37% 的成績獲得 3,700+ 份行銷名單 。 網站企劃與文案： 企

代 ・跨部門協作: 與 MKT、CS、BD 部門溝通，理解用戶需求，繪製功能 Wireframe＆編寫 PRD ・專案管理: 彙整 Product Backlog、Sprint Meeting，評估優先序，追蹤項目進度 # Chatbot # CRM #Social Media # 產品生命週期 # 軟體開發流程 # UI/UX設計 社群行銷專員 • CHATISFY 聊天機器人平台 (法可創新股份有限公司

神經網路股份有限公司 SepPresent Angular/Node.js/TypeScript/ Flutter /Docker/Firebase/MySQL/GCP 1. Built and maintained website management consoles in Angular to help shop owners manage business interactions with their customers in LINE chatbot. 2. Implemented REST APIs and integrated LINE webhooks in Node.js + TypeScript. 3. Used Firestore/MySQL/Google BigQuery/Redis to store data. 4. Deployed applications to GKE with Github Actions. 5. Developed a cross platform app

Service Manager New Taipei, TW | AprJun 2023 Product Management ◆ Planned the Support CRM, a customer data management platform, as a Product Manager, and collaborated with four engineers and the customer service team. The initiative resulted in a 25% reduction in customer service work hours. ◆ Implemented Zendesk Chatbot and Support Center from scratch, collaborating with the Product Manager and engineers to deploy them on the official website. This led to a 10% decrease in customer complaint cases. Churn Rate Optimnization ◆ Breakdown of user journey (UJM) and account lifecycle, optimizing expiry notification EDM11 through A

s a main engineer to develop the generic Data Service to queries and processing data from various database. establish a CI/CD pipeline to kubernetes for the inner platform to imporving the seculity and stable of the process. NLP Engineer,–, Ubestream. I Led and designed a chatbot service project in EC, using Django and MongoDB. To develop NLU services with Huggingface, PyTorch, and Keras, including intent classification, NER, etc. At the same time, led a junior engineer team to set and complete the tasks, team members including 18 interns and 4 full-time engineers

原本的 Wordpress 版本轉變成 Gatsby.js 新設計新版本 新增註冊流程及運用 StripeJS 建構方案購買流程 運用 VEXT 服務架設 AI 問答區並連動 Chat Bot 技術 Gatsby.js, StripeJS, MUI 成果 大幅改善 使用者 註冊信任度 及 意願 （原先註冊流程是導向 Mlytics portal） 官網框架的變更 提升 官網更改