Yen Wei San (Sam)

A senior consultant in Deloitte Taiwan for 2 years with specialty of data analysis and financial data integrity. With data analysis techniques, such as SQL, R, Tableau and Excel, I've provided risk insight to the accountants, helped the audit team optimize annual audit strategies. Also, I've advised listed companies with tailored suggestions in order to improve the security in IT environment. Now I'm looking for a data-oriented position.

技能

Data Analysis

  • SQL : Window function, aggregation, CTE, Join
  • R : dplyr, ggplot2
  • Python : Numpy, Pandas, Seaborn, Plotly

Statistics

  • Hypothesis tesing
  • Confidence intervals
  • Regression

Visualization

  • Tableau
  • Google Data Studio

Programming

  • C++
  • JAVA

Language

  • Mandarin Chinese (native)
  • English (advanced)

工作經歷

Senior Consultant  •  Deloitte • Taiwan

07 / 2019 - Present

  • Provided risk insight to the accountant by analyzing system event log and financial data with SQL, R and Excel, helped the audit team optimize annual audit strategies.
  • Delivered data-driven reports and presentations to different stakeholders with Tableau, PowerPoint and Excel.
  • Provided ad hoc support to management for business goals, such as gross margin analysis, cost analysis, business plan presentation
    (mostly using statistical analysis, Python and Tableau).
  • Provided IT advisory services to listed companies with tailored suggestions for improving IT control.
  • Researcher and lecturer of SAP ERP in audit training workshop.


  • Achievement & Side Projects
    • Achieved top 5% performance in the department (estimated 500 people).
    • Established standard audit process for SAP ERP system and the IT advisory presentation specification.

    • Saved 15% of project time with high quality production.

    • Redesigned job arrangement for IT auditors.

    • Revised new employee training program.

    • Participated in Deloitte - Risk Advisory Dept. business plan competition and obtained the ticket to the finals.

學歷

University of Applied Sciences Upper Austria

Exchange program

2018 - 2019

National Central University

Information Management, Data Mining
GPA 4

2016 - 2019

  • Thesis title: Improving Performance of Link Prediction with Ensemble Model (2019)
    • Use Ensemble Model with Decision Tree, Naive Bayes, KNN, Random Forest, SVM, Logistic Regression algorithm to improve the predictive result of graph neural network.
  • Member of The Phi Tau Phi Scholastic Honor Society (2018)

National Taiwan University of Science and Technology

Information Management
GPA 3.56

2012 - 2016

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