Portfolio作品集

Daoyi
Zhang 张道一

Sales operations professional with a genuine interest in business analytics. I use data to support decisions, build tools to improve execution, and stay curious about what technology can do for the way teams work. 销售运营从业者，对商业分析有浓厚兴趣。习惯用数据支撑决策、构建工具改进执行流程，并持续关注技术能为团队协作方式带来什么改变。

Sales Operations销售运营 Business Analytics商业分析 Process & Execution流程与执行 Trilingual三语
Daoyi Zhang
01

About关于我

Background in sales operations with a strong interest in business analytics. Data is most useful when it connects directly to operational decisions, and that's the space I'm drawn to. 背景在销售运营，对商业分析有强烈兴趣。数据在直接服务于运营决策时最有价值，这正是我想深耕的方向。

I have worked in B2B sales operations, covering account management, promotional execution, CRM data management, and cross-team coordination. Building dashboards and automating reports was a natural extension of that work: it made things more visible and easier to act on. 我做过 B2B 销售运营，涉及客户管理、促销执行、CRM 数据管理和跨团队协调。搭建看板和自动化报表是这份工作的自然延伸：它让问题更清晰，也更容易推动行动。

Outside of work I build side projects: a structured wine blind tasting app, browser automation scripts, and data visualisation work. I am genuinely curious about how AI is changing operational workflows and I actively look for ways to apply it, not just follow it from a distance. 工作之外我会做一些个人项目：结构化的葡萄酒盲品应用、浏览器自动化脚本、数据可视化作品。我真心好奇 AI 正在如何改变运营的工作方式，也主动寻找应用它的机会，而不只是远远观望。

English Fluent英语 流利 Mandarin Native普通话 母语 Cantonese Native粤语 母语
02

Education教育背景

University of Adelaide阿德莱德大学
Master of Wine Business · QS Top 100 · 2021–2022葡萄酒商业硕士 · QS 世界百强 · 2021–2022
A Group of Eight research university. The programme is essentially business management, marketing, and brand management applied to the wine sector, so the core frameworks (consumer behaviour, channel strategy, data analysis) carry directly into FMCG and retail operations.澳洲八大研究型名校之一。这个项目本质上是把商业管理、市场营销与品牌管理放在葡萄酒行业的场景下来学，因此其中的核心框架（消费者行为、渠道策略、数据分析）可以直接迁移到快消与零售运营中。
Shandong University · Sun Yat-sen University (exchange)山东大学 · 中山大学（交流）
Bachelor of Philosophy · Project 985 · 2016–2020哲学学士 · 985 工程 · 2016–2020
Both are Project 985 universities, China's tier of leading national institutions. Philosophy trained the habits I rely on most: breaking problems down, reasoning through ambiguity, and forming a clear independent view.两所都是 985 工程院校，属于中国顶尖高校之列。哲学训练出了我最依赖的几个习惯：拆解问题、在模糊中推理、并形成清晰而独立的判断。
03

Experience工作经历

2024 – Present
Retail sales and customer-facing operations. Involved in in-store tasting events, targeted email marketing, and contributing to product ranging decisions. 零售销售与客户运营。参与门店品鉴活动、定向邮件营销，并参与产品选品决策。
Melbourne
2022 – 2023
Sales operations in a B2B setting account tiering, promotional policy execution, logistics coordination, and reporting. Built Power BI dashboards to support planning and tracking across the team. B2B 销售运营，涉及客户分级、促销政策执行、物流协调和数据报表。搭建 Power BI 看板，支持团队的规划与追踪。
Melbourne
2021 – 2022
Publicis Groupe
Marketing data internship data collection, cleaning, and building automated Excel reports to speed up delivery for the team. 营销数据实习，负责数据收集、清洗，并搭建自动化 Excel 报表以提升团队交付效率。
Guangzhou
2019
The Wine Magazine
Editorial internship. Content production, interview coordination, and event logistics. 编辑实习。负责内容制作、采访协调与活动统筹。
Guangzhou
04

Projects作品

01

Supply Chain Operations Dashboard供应链运营分析仪表盘

Tableau  ·  LOD Calculations  ·  DataCo Global 2015–2017

A sales operations dashboard built on 180,000 real supply chain orders. Surfaces category profitability structure, fulfilment risk, and shipping mode efficiency the kind of view a channel ops team would actually use to make resource decisions. 基于 18 万条真实供应链订单数据构建的销售运营仪表盘。呈现品类盈利结构、履约风险和运输方式效率，正是渠道运营团队在做资源决策时真正需要的视角。

View on Tableau Public →在 Tableau Public 查看 →
02

Wine Blind Tasting App葡萄酒盲品记录应用

React  ·  TypeScript  ·  Vite  ·  PWA  ·  Tailwind CSS  ·  Multi-model AI

A mobile-first web app for structured blind tasting. Walks through an 8-step evaluation flow, stores notes locally, and lets you compare your predictions against the reveal. Hooked up to four AI models (Gemini, OpenAI, Anthropic, DeepSeek) for automatic grape variety and region inference no backend needed, API keys stay on device. 移动优先的盲品网页应用。引导用户完成 8 步系统化品鉴流程，本地存储笔记，并支持揭晓后与预判结果对比。接入四个 AI 模型（Gemini、OpenAI、Anthropic、DeepSeek）实现品种与产区自动推断，无需后端，API Key 全程留在本地设备。

Open App →打开应用 →