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莊鈞諺
Expertise & Innovation Lead, Cloud
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莊鈞諺

Expertise & Innovation Lead, Cloud
I am currently the Expertise & Innovation Lead at a global data strategy and digital transformation consultancy, specializing in Data on Cloud solutions delivery and technical support. My primary focus is on serving major financial institutions and leading global brands. Previously, I spent five years as an R&D Engineer in a government think tank. I hold dual master's degrees in Computer Science and ESG, and am certified in AWS, GCP, and Azure. I excel in translating complex technical initiatives into business growth, with a strong emphasis on knowledge sharing and partnership development within the cloud technology ecosystem.
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fifty-five
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National Chengchi University
Taipei, 台灣

职场能力评价

专业背景

  • 目前状态
    就职中
  • 专业
    数据科学家
    数据分析师
    系统架构
  • 产业
    软件即服务 / 云服务
    资讯服务
    大数据
  • 工作年资
    4 到 6 年 (4 到 6 年相关工作经验)
  • 管理经历
    我有管理 1~5 人的经验
  • 技能
    Google Analytics
    Google Tag Manager
    Data Mining
    Text Mining
    Business Intelligence
    python
    Machine Learning
    R
    Linux
    Tableau
    SQL
    Data Analysis
    Data Analytics
    Data Science
    BigQuery
    Data Flow
    AWS Architecture
    Google Cloud Platform (GCP)
    Cloud Architecture
    SEO Optimization
    Spark
    Digital Marketing
    Deep learning with TensorFlow
    Databricks
  • 语言能力
    English
    进阶
  • 最高学历
    硕士

求职偏好

  • 预期工作模式
    全职
    对远端工作有兴趣
  • 希望获得的职位
    Cloud Solution Architect
  • 期望的工作地点
    Taipei, 台灣
    Singapore
    Japan
  • 接案服务
    不提供接案服务

工作经验

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Expertise & Innovation Lead, Cloud

fifty-five
全职
2023年11月 - 现在
Responsibilities & Achievements: - Innovative Strategy & Technical Development: Pioneered innovative business strategies and technical advancements, enhancing synergy between digital and physical realms to foster business growth. - Data Migration & Cloud Solutions: Executed pivotal data migration projects for top-tier financial institutions and retail giants to cloud platforms (AWS, GCP), showcasing expertise in cloud solutions. - Architecture Design & Data Governance: Led the design of data warehouse architecture for leading global bicycle manufacturer and developed a data governance Proof of Concept (PoC) for prominent financial groups. - Partnership & Knowledge Sharing: Established and maintained partnerships with major cloud providers (AWS, GCP), driving the adoption of cutting-edge technologies and sharing knowledge with consultants. - Innovation Events & Business Development: Spearheaded an internal Gen AI Hackathon and proposed GenAI solutions, highlighting a commitment to innovation and technological leadership.
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Data Specialist / R&D

2018年10月 - 现在
台灣
Responsibilities & Achievements: - Digital Marketing & Traffic Optimization: Developed and implemented advertising strategies across major platforms, significantly increasing organic search traffic through strategic SEO practices. - Large-Scale Website Project: Key contributor in the launch of a high-value website for SaaS transactions, coordinating with vendors for deployment and ongoing development. - Data Analysis & Systems: Collaborated on the design and implementation of data analysis systems, including a GCP-centric data warehouse, enhancing data integration and analysis capabilities. - Team Leadership & Innovation: Led the development of a Vertex AI-based recommendation engine, exploring various data tools to refine data team’s methodologies. - Additional Milestones: Recognized as a primary instructor for a leading securities company and led the creation of an AWS data structure featured on AWS's official blog. Holds AWS Solution Architect and Azure Data Scientist certifications.
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Intern

2016年7月 - 2016年8月
2 个月
中国福建省福州市
As an environmental engineer intern, the following items were my roles: -water processing equipment deployment testing -water quality experiment taking and reporting

学历

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Master of Science (MS)
Computer Science
2021 - 2023
4/4.3 GPA
活动和社团
Thesis -Explainable Deep Learning-Based Recommendation Systems: Enhancing the Services of Public Sector Subsidy Online Platform
简介
Courses taken - Big data analysis - Data mining - Network and Communication fundamental - Deep reinforcement learning - Blockchain - Algotithm analysis
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Master of Science (MS)
Resource Engineering
2016 - 2018
3.8/4 GPA
活动和社团
Master Thesis -Text-mining and machine learning for crowdfunding prediction TA Experience - Statistics for engineering
简介
Courses taken related to data science - Data mining - Machine learning - Multivariate analysis - Econometrics - Text-mining and Information Retrieval from Coursera Courses taken related to ESG - Energy Economics - Advance Resource Management - Green innovation and product development
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Bachelor of Engineering (BEng)
Environmental Engineering
2012 - 2016

资格认证

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Amazon Web Services
证照编号: Q0XVH0W2WEE1Q251
发照日期 2023年4月
永久有效
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Microsoft
证照编号: I403-8353
发照日期 2022年9月
永久有效
Logo of the organization.
Amazon Web Services
证照编号: T6WGKXZDNE441GSK
发照日期 2022年7月
永久有效
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Microsoft
证照编号: I241-2373
发照日期 2022年4月
永久有效
Logo of the organization.
Microsoft
证照编号: I191-5801
发照日期 2022年3月
永久有效
Logo of the organization.
Microsoft
证照编号: I153-5208
发照日期 2022年2月
永久有效
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Coursera
发照日期 2022年2月
永久有效
Logo of the organization.
Microsoft
证照编号: I176-1342
发照日期 2022年2月
永久有效