Tony Koo

National University of Singapore

School of Computing

BSc. in Business Analytics (Financial Analytics Specialisation in-progress)

• University Engineering Scholar
• Tembusu College
• Cumulative GPA: Honours with Merit
• Expected Graduation: May 2026

Relevant Coursework

• Advanced Analytics with Big Data Technologies
• Risk Analytics for Financial Services
• Data Management and Visualisation
• Probability and Statistics
• Calculus & Linear Algebra
• Programming Methodology I & II
• Data Structures and Algorithms
• Application Systems Development

Aug 23 - Present

Singapore

Korea University

International Winter Campus

Participated in Korea University's Winter Campus academic and cultural immersion programme. Gained a strong foundation in core accounting principles and applied them to real-world business scenarios, demonstrating the ability to classify transactions and determine appropriate accounting treatments.

Relevant Coursework

• Principles of Financial Accounting

Dec 24 - Jan 25

South Korea

PSL University (Paris)

Venture Creation (Entrepreneurship & Business)

Participated in an intensive venture creation program focused on starting a business and entrepreneurship. Co-created an AI wardrobe styling app and collaborated with a diverse team to validate the business model.

• Best Venture Team Award: Awarded for the most feasible business idea and strong execution strategy.

Jul 26 - Dec 26

Paris, France

Temasek Polytechnic

School of Business

Accountancy and Finance (Finance specialisation)

• Accountancy & Finance Interest Group Vice-President
• School of Business Ambassadors EXCO
• Cumulative GPA: Diploma with Merit
• Expected Graduation: Graduated

Relevant Coursework

• Security Analysis & Portfolio Managment
• Risk Management
• International/Business Finance
• Fundamentals of Taxation
• Financial Technology
• Information systems & Financial Analysis
• Business Law
• Business Statistics
• Cost & Management Accounting I & II

Apr 18 - Apr 21

Singapore

Compagnie Financière Tradition Singapore (Returning in Jul 2026)

Quantitative Developer Intern

Quantitative Analytics (Financial Derivatives and Products)

• Implemented Nelson-Siegel, Svensson, and monotone convex models for yield curve construction, significantly improving the robustness of client-facing analytics.
• Streamlined server-based spreadsheets using Python, reducing processing time from 6.09s to 0.86s and saving 5 hours weekly.
• Collaborated with portfolio managers and researchers to design new financial products, contributing to two successful launches in the energy market.
• Developed correlation analytical solutions on energy derivatives using Spearman methodology and VBA to optimize pricing strategies.

Dec 23,

May 24,

May 25 - Present

Singapore

Skezi

Data Science Intern

• Engineered a Self-Reflection RL framework for medical data extraction, integrating dual-gate validation for high-fidelity output.
• Optimized processing throughput with asyncio, achieving a 4.7x speedup across the pipeline.
• Reduced API costs by 80% through the implementation of two-tier semantic caching using FAISS vector store.
• Developed an unsupervised clustering solution using TF-IDF vectorization, UMAP dimensionality reduction, and HDBSCAN with hyperparameter optimization.

Jul 25 - Dec 25

France, Paris