Sijia Liu

London Business School - London, UK

Reading for Masters in Analytics and Management (Graduating in 2021)
Modules: Applied Statistics with R, Data Management, Finance, Marketing
GRE: 333 | Merit scholar

Sun Yat-sen University - Guangzhou, China

BSc. Applied Statistics
GPA: 90/100

University of California, Berkeley - CA, US

Selected to join 2018 Spring Exchange Program

IT skills

R, Python, MySQL, PowerBI, Office suite

Language skills

Fluent in English, Native in Mandarin

Lenovo AI Research Intern (3 mons) - Shenzhen, China

• Built Support Vector Classifier (SVC) for a chatbot assistant used by internal employees, improved question classification accuracy by 4% in test data
• Provided tutelage on mainstream Natural Language Processing (NLP) methods, presented key concepts and examples in weekly workshop

Coca-Cola Business Intelligence Summer Intern (2 mons) - Shanghai, China

• Developed PowerBI dashboard to store and visualize illegal cross-territorial sales in China, in support of cost-revenue analysis and raw material distribution planning
• Dashboard increased working efficiency by 40%, replaced weekly manual update in Excel report
• Forecasted 2020 Non-Alcoholic-Ready-to-Drink sales volume with historic data and macro KPIs, such as GDP

BKDR Financial Group Credit Risk Intern (3 mons) - Guangzhou, China

• Used Logistic Regression (LR) and Synthetic Minority Over-sampling Technique (SMOTE) to calculate borrowers’ Probability of Default (PD) according to their income, marital status, highest education, etc.
• Determined firm’s 2018 asset portfolio risk and estimated revenue based on PD results, ad-hoc financial policies and industry events.

Random Forest: Prediction of Myopia for School-aged Children
Text Analysis: MOOC Profitability Interfering Factors Analysis
Survival Analysis: Survival Time Analysis for Lung Cancer Patients