WeiChuan Yeo
Mathematics & Economics
School of Physical & Mathematical Sciences
Summary
Featured Skills
Work Experience
data Analyst/ Data Scientist Dec 2019 - Present
Tata Consultancy Services Singapore• Assisted in Customer Vehicle Default Loan Banking project
• Employed supervised/ unsupervised learning using R Python
• Processed and cleaned data used for analysis
• Employed machine learning techniques algorithms, such as:
Random Forest, Boosting, KNN, Naïve Bayes, SVM, Cluster Analysis, PCA, Factor Analysis, ARM, NLP
• Utilised data science toolkits, such as:
NumPy, Pandas, StatsModels, scikit-learn
• Employed data visualization toolkits, such as:
GGplot, Seaborn, Matplotlib
• Utilised data visualisation software, such as:
Power BI, QlikView, Tableau
• Possessed basic proficiency in using query languages, such as:
SQL, Hive, Hadoop
Education
Mathematics and Economics, Bachelor of Science (Math) Aug 2014 - Aug 2018
Nanyang Technological University Singapore• Strong background in Economics, with a distinction in Computational Economics, Econometric, Environmental Economics, Game Theory, Labour Economics and Macroeconomics
• Strong background in Statistical Modelling and Computing, with a distinction in C++, Statistics and Regression Analysis
• Strong background in writing, with a distinction in Psychology of Crisis Stress Management and Scientific Communication
Other Skills
Careers WeiChuan favourited
WeiChuan Yeo's Skill Profile
data Analyst/ Data Scientist @ Tata Consultancy Services
When I was working at Tata Consultancy Services (Dec 2019 - Present), I demonstrated the Data Science skill when I was part of a Banking Default Loan Project. To tackle this challenge, I proactively applied mathematical models. As a result, I managed to improve efficiency and accuracy of predicting the defaulting rate.
Q&A with WeiChuan Yeo
