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• Goal: To precisely predict the default rate of loan applicants based on the non-canonical background information they provided.
• Role: I was the leader of the 6-person team
• Result: Achieved Area Under ROC = 0.79780 (Private Score) with tree-based models. It was comparable to Kaggle silver medal's result.
• Tech: Python (numpy & pandas), Hadoop-YARN-Spark cluster, Light-GBM modeling

Default Risk Analysis (Term Project)

More than a programmer

Stan Suo

Microsoft Certified: Azure Data Fundamentals

Microsoft

Microsoft Certified: Security, Compliance, and Identity Fundamentals

Google Ads Search Certification

Google

Microsoft Certified: Power BI Data Analyst Associate

Google Analytics Individual Qualification

巨量資料分析師－Accociate Level

經濟部 iPAS

Oracle Certified Associate, Java SE 8 Programmer

Oracle

- Strong data-driven analytical mindset with good business acumen.
- Possess ~8 years of multi-industrial work experience, composed of responsibilities in Data Analysis, Business Analysis, Business Development, and Project Management.   
- Experienced in exploring, accessing and strategizing for business opportunities. 
- Fluent in English and Mandarin with cross-cultural / functional collaboration capability.
- Proficient in data mining with the combination of Python, Power BI, and SQL
- Microsoft Certified: Data Analyst Associate (PowerBI)

資策會大數據人才培訓班
專題: 放款違約分析

Institute for Information Industry (III, Taiwan)

Mastered data fundamentals applicable to any industry, and learned to make data-driven decisions. Learned Excel and SQL, and gained data visualization skills with Tableau.

Udacity

外貿協會國企班
英文: TOEIC (975) 
葡文: DIPLE (eq. B2 level)

International Trade Institute, TAITRA

台大醫學院分子醫學所碩士
神經發育學研究

National Taiwan University

GroupM

 Senior Manager, Reporting & Analytics

Respositioned to GroupM, the parent company of Mindshare. In addition to my work at Mindshare, I take on more responsibilities at the level of a company group, with focuses on innovation and automation. I lead/participate in projects related to Google Ads Data Hub (ADH), BigQuery, media mix modeling (Facebook Robyn/Google RBA), invoice/receipt data mining, Microsoft Power Platform for business process automation, campaign pacing monitoring, and technical training for agencies...etc.

In this WPP group media agency, I mainly focus on report automation (i.e., to automate the pipeline of preparing/ distributing reports to stakeholders):

• Lead and facilitate the digital transformation progress.
• Communicate with stakeholders, and conduct situational analysis, such as Use Case Analysis/ Gap Analysis, to map out the data strategy.
• Use BI tools (mainly Power BI, Google Looker) to transform the information into meaningful, graphical representations.
• Use Python to capture and process raw data into structured values. (Web scraping/ DSPs' API connecting), and perform value-adding analysis on our data, such as regressions, clustering, and attribution modeling.
• Established serviceable input systems using Excel/VBA to facilitate automation. Users span four major business parties.
• 80% of time serving the top-tier client (beauty & cosmetics, annual media spend > 1 bn TWD) 

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