Tina Huang

Mathematics & Statistical Science Student @ UCL | Data Analysis | Mathematical Modeling | Content Creator

United Kingdom

About

I am a Mathematics and Statistical Science student at UCL, passionate about applying analytical and programming skills to solve real-world problems. My interests lie in data analysis, mathematical modeling, E-commerce and artificial intelligence, with hands-on experience in Python, R, and statistical research.

Experience

  • Intern at unifi.id
    Aug 2025 - Sep 2025 · 2 mos

    • Developed an n8n workflow to automate email management, enhancing efficiency in communication. • Conducted in-depth research and summarized industry materials to inform strategic decisions. • Created a promotional video that improved client engagement and showcased the firm’s offerings.

  • Participant – IEUK 2025: Finance, Professional Services & Consulting at Bright Network
    Jul 2025 - Jul 2025 · 1 mo

    • Participated in the Internship Experience UK 2025 program, focusing on Finance, Professional Services, and Consulting. • Engaged in expert-led sessions from leading firms like Bank of America, EY, and Deloitte to enhance industry knowledge. • Conducted a comprehensive Sector Skills Project, utilizing market analysis and strategic recommendations to drive profitability.

  • Venture Capital Intern at Velocity Capital
    Jun 2025 - Jul 2025 · 2 mos

    • Designed an AI-powered investment screening platform using Python and Streamlit, enhancing decision-making efficiency. • Developed an AI assistant to analyze startup pitch decks, generating structured overviews for informed evaluations. • Achieved 86.1% accuracy in replicating historical investment decisions through a trained Random Forest model.

  • Summer Project – Binomial Option Pricing at UCL Department of Mathematics
    May 2025 - Jun 2025 · 2 mos

    • Conducted an in-depth study of a 35-page academic paper on financial derivatives and binomial models. • Collaborated with a team of five to derive key formulas for European options and Call-Put Parity. • Engaged in weekly discussions with a supervisor to refine definitions and clarify assumptions, enhancing analytical skills. • Delivered a 15-minute presentation to faculty and peers, boosting public speaking confidence and receiving constructive feedback.

  • Research Assistant at EPQ project
    Jun 2023 - Sep 2023 · 4 mos

    • Conducted a comprehensive concert revenue analysis utilizing SPSSAU and chi-square tests on 85+ survey responses. • Analyzed consumer behavior trends to provide insights on demographic influences on concert attendance. • Compiled findings into a structured report, enhancing decision-making for concert marketing strategies.