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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

職場能力評價

專業背景

  • 目前狀態
    就職中
  • 專業
    數據科學家
    數據分析師
    系統架構
  • 產業
    軟體即服務 / 雲服務
    資訊服務
    大數據
  • 工作年資
    4 到 6 年 (4 到 6 年相關工作經驗)
  • 管理經歷
    我有管理 1~5 人的經驗
  • 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
  • 語言能力
    English
    進階
  • 最高學歷
    碩士

求職偏好

  • 預期工作模式
    全職
    對遠端工作有興趣
  • 希望獲得的職位
    Cloud Solution Architect
  • 期望的工作地點
    Taipei, 台灣
    Singapore
    Japan
  • 接案服務
    不提供接案服務

工作經驗

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Expertise & Innovation Lead, Cloud

fifty-five
全職
2023年11月 - 現在
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 - 現在
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 個月
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

學歷

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Master of Science (MS)
Computer Science
2021 - 2023
4/4.3 GPA
社團活動
Thesis -Explainable Deep Learning-Based Recommendation Systems: Enhancing the Services of Public Sector Subsidy Online Platform
簡介
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
社團活動
Master Thesis -Text-mining and machine learning for crowdfunding prediction TA Experience - Statistics for engineering
簡介
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

資格認證

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