Cong (Crystal) Liu

With a solid quantitative background in Applied Statistics and Economics, Crystal’s interest in risk and insurance modelling drives her commitment to deliver analytical insights that inform decision-making. She is enthusiastic about contributing her quantitative mindset and technical skills to reinforce risk modelling frameworks and boost strategic business growth.

Experience

CIBC, Toronto
Application Developer, Jan. 2023 - Aug. 2023 & Jan. 2022 - Aug. 2022

• Delivered proper, timely & cost-effective solution for enterprise BI tools & services being used by 1000+ users.
• Standardized & streamlined request collections with Power Automate, reducing turnaround time by 70%.
• Collaborated with cross-functional teams to translate business requirements into actionable technical plans that fulfill business ask while adhering to enterprise security standards.
• Facilitated efficient change management for enterprise BI infrastructure through collaborative technical discussions.
• Gained a comprehensive understanding of end-to-end data flows through active participation in project activities.

Project: Prediction Model for Stock Market Using Machine Learning Techniques
University of Toronto, Nov. 2022 - Dec. 2022

• Extracted 2,000+ stock price data during 2019-2022 to evaluate the predictive performance of 3 machine learning models; identified logistic classifier as the optimal model given gathered dataset.
• Developed a daily COVID search index using the average Google search popularity of the relevant keywords to incorporate the pandemic shock on U.S. stock market.
• Achieved a predictive accuracy of 77.70% for stock direction using a logistic classifier built with Python.

Skills

• Technical: R
• Python
• SAS
• Tableau
• Alteryx
• AXIS
• Microsoft 365

Professional Certificates & Awards

• CIBC Exceptional Student Award: 2022, 2023
• Innis College Scholarships: 2020-2022
• Dean’s List Scholar: 2020-2023