Ying-Ting Tu (Jeff Tu)

  • Experienced consultant with a demonstrated history of outstanding performance in the big 4 accounting firm.
  • Skills mastered include using Python, R language, SQL, statistics, machine learning and data visualization tools to organize data and deliver insights.
  • Leveraged technical and communication skills to bring solid data value.

Taiwan, Data Analyst, Mandarin & English bilingual
[email protected]


  • Problem-solving & structured thinking
  • Adapt to the changing environment
  • Fast learning & Time management
  • Leadership & Teamwork


  • Programming: Python (pandas, numpy, matplotlib…), R language (tidyverse, dplyr, ggplot2, …), SQL
  • Data Visualization: Tableau, Power BI
  • Data Analysis: statistics, regression, A/B testing
  • Machine Learning: Logistic regression, Decision tree, K-means, PCA, Heuristic algorithm


  • Google Data Analytics, Coursera, 2022
  • Master SQL For Data Science, Udemy, 2022
  • Advanced Analytics In R For Data Science, Udemy, 2022
  • TOEIC: 885


Consultant, Deloitte - Risk Advisory, Taiwan, April 2020 - April 2022

  • Provided risk insights to different stakeholders with data analysis techniques (e.g. organize and analyze system event log and financial data with Python, R and SQL), to optimize the audit planning strategy and resource allocation for audit teams.
  • Delivered actionable suggestions with data-driven reports to different stakeholders with Tableau, Power BI, PowerPoint and Excel.
  • Supervised 5+ IT departments with revising internal control for being ready to Initial Public Offering (IPO).
  • Lectured UNIX/Linux in the audit training workshop.
  • Achievements in this role:
    1. Achieved top 5% performance within Risk Advisory Dept. (estimated 500 people).
    2. Reduced execution time by 15% on each project with high-quality production.
    3. Established 3+ standard audit processes for the team and cut down manual work by 50%. 


Consultant at Deloitte-Risk Advisory Dept:

  • Lectured in UNIX operating system during 2021 annual computer audit training.
  • Built a computer audit training & assessment program for new employees.
  • Participated in the business plan competition and got the ticket to the finals as the leading role. 

Continuing R tutorial project:

  • Hosted 3+ R tutorial workshops for people who were interested in data analysis.


  • Leapfrog program - business proposal competition held by Deloitte - Risk Advisory Dept., final, 2021
  • Cathay Life Insurance big data analysis competition, quarter-final, 2017


Master, System Informatics and Management Science Lab, National Taiwan University of Science and Technology, 2016 - 2019

  • Thesis topic: 《Non-Dominated Sorting Genetic Algorithm II – Sequential Clustering Classification with Stepwise Dimensionality Reduction Mechanism》- This is an algorithm that can perform clustering and classification without prior knowledge of data sets. This algorithm can be used to solve real world business problems such as making a cold start, dealing with a huge amount of attributes, and acquiring initial analytical ideas about data sets.
  • Project: User behavior analysis, industry-academia cooperation with Far EasTone Telecommunications (FET)
  • Exchange Program: Global Sales and Marketing, University of Applied Sciences Upper Austria, 2018-2019

Bachelor, Industrial Management, National Taiwan University of Science and Technology, 2012 - 2016

  • Relevant Coursework: 
    1. Statistics: Probability, Distribution, Hypothesis test, Regression, Sampling
    2. Operation Research: Linear programming, Sensitivity analysis, Queueing theory, Markov chain, Game theory
    3. Data Mining Applications: Building artificial neural networks by C++ from scratch.
    4. Mathematics: Calculus, Linear algebra, Engineering economics

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