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]
SOFT SKILLS
- Problem-solving & structured thinking
- Adapt to the changing environment
- Fast learning & Time management
- Leadership & Teamwork
PROFESSIONAL SKILLS
- 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
CERTIFICATES
- Google Data Analytics, Coursera, 2022
- Master SQL For Data Science, Udemy, 2022
- Advanced Analytics In R For Data Science, Udemy, 2022
- TOEIC: 885
WORK EXPERIENCES
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:
- Achieved top 5% performance within Risk Advisory Dept. (estimated 500 people).
- Reduced execution time by 15% on each project with high-quality production.
- Established 3+ standard audit processes for the team and cut down manual work by 50%.
SIDE PROJECTS
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.
Competitions:
- Leapfrog program - business proposal competition held by Deloitte - Risk Advisory Dept., final, 2021
- Cathay Life Insurance big data analysis competition, quarter-final, 2017
EDUCATION
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:
- Statistics: Probability, Distribution, Hypothesis test, Regression, Sampling
- Operation Research: Linear programming, Sensitivity analysis, Queueing theory, Markov chain, Game theory
- Data Mining Applications: Building artificial neural networks by C++ from scratch.
- Mathematics: Calculus, Linear algebra, Engineering economics
