新加坡国立大学数据科学与机器学习硕士offer一枚

学员背景

  • 学员:唐同学
  • 本科学校:电子科技大学
  • 本科专业:软件工程
  • GPA:3.7 | 4分制
  • 标化成绩:TOEFL:100、GRE:322
  • 背景提升:如何提升背景?
  • 主要经历:
    (1)Business Analyst intern @Amazon(4 months)
    I worked as a Business Analyst at Amazon for 4 months in 2019, during which I was responsible for building a robust set of operational and business metrics, working with cross-functional teams (in my case, China Baby & Toys Vendor Management team) to design, build, deploy the reporting systems, and utilize metrics to determine improvement opportunities.

    Thanks to this experience, I substantiated my great interest in the sector of BA by actually trying it! I really enjoy the process of “dive-deep” and coming up with data-driven insights: working with vendor management team, understanding their requirements, translating them into actionable business metrics, and collaboratively shaping solutions and providing insights with them by extracting related data from Amazon Business Intelligence tools and Data Warehouses, and designing/constructing/executing complex analyses to finally come up with data/reports that help solve the business problem.

    By the way, Amazon has a course website names KNet, where a great number of self-learning materials concerning both IT and business sectors: like programming, marketing, company’s culture, company’s business patterns, even character-building can be found. I certainly took a good use of it to grasp various knowledge I interested in and improve myself. I got the certificates of many subjects by taking online courses and finishing the quizzes, to name a few:
    Amazon Analytics, SQL, Tableau Training, Analyzing Business Data, Data at Amazon, Marketing at Amazon, CN Retail Essentials for Vendor Management, RBS ACES - Root Cause Analysis Curriculum, Write Effective Emails……
    由于本科是软件工程专业,属于偏工程性的学科,所以有过不少课程设计/综合设计(基本都是软件开发相关)经历,但可能都不算是很完整很成熟:

    Project Experience at School:

    10/2017-12/2017
    Development of a Weather App Based on Android
    Responsibility: Independently design and develop UI of the App

    03/2018-05/2018
    Research and Implementation of Web Crawler System by Python
    Responsibility: Independently implement simulant log-in process of Weibo as well as system testing

    10/2018-12/2018
    Design and Implementation of the Medical Registration Service System Based on Public Wechat Account
    Responsibility: Independently conduct the design of HCI-related part and develop UI

    03/2019-present
    An “Internet+” start-up entrepreneurship project of a Wearable Emotion Services System
    Responsibility: Conduct researches and set the business “5P” (Plan, Pattern, Perspective, Ploy, Position) of our start-up company
    【这个项目略有特别:我和我队友首创性地设计开发了一款集软硬件于一身的“可穿戴情绪识别系统”,可以自主式识别、监控、管理用户的情绪状态;其中涉及几个原创的机器学习核心算法;此外,我们基于这个项目参加了创新创业大赛,作为一个初创团队,对其商业前景进行了较为详细的分析和规划,并且现在也在进行软件著作权的申请】
    (我在这个项目中更多地是作为商业组成员,对技术开发的参与不算很多)

新加坡国立大学数据科学与机器学习硕士录取要求

数学、应用数学、计算数学、统计和物理、工程学、计算机科学的荣誉学士学位。


新加坡国立大学数据科学与机器学习硕士培养目标

新加坡国立大学数据科学和机器学习硕士是一个跨学科的研究生学位课程,旨在培养下一代数据科学的领导者。该方案得到了数据科学领域领先的NUS研究人员以及来自工业界的数据科学家的支持,并提供了多个数据科学专业。 其课程包括计算机科学、数学和统计等领域的跨学科学习,以及数据分析和机器学习。

录取offer

  • 新加坡国立大学
    申请项目:数据科学与机器学习硕士

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