I am a Master of Science student in Actuarial Science and Management at Heriot-Watt University, Edinburgh. With a foundational B.Tech in Computer Engineering (AI & ML), I bridge the gap between complex data-driven engineering and high-level financial strategy. I am passionate about leveraging technical skills to solve problems in Investment, Reinsurance, and Risk Management.

• 🔭 Current Focus: Pursuing my MSc and seeking Summer 2026 internships in Actuarial Science, Reinsurance, or Investment roles.
• 🌱 Learning: Advanced Markov Processes, Survival Modelling, and Quantitative Finance.
• 💬 Ask me about: Actuarial Pricing, Machine Learning, Credit Risk Modelling, and Debating.
• 🏛️ University Roles: Current Affairs Officer for the Heriot-Watt Students' Actuarial Society & Debate Ambassador.
• 😄 Pronouns: She/Her

• AIG Actuarial Pricing Case Study: Performed data cleaning and analysis on large datasets, identifying a significant $5.2M loss outlier and proposing strategic pricing adjustments.
• JPMorgan Quantitative Research: Developed Credit Risk Models to predict probability of default, combining statistical rigor with financial theory.
• Data Analytics & Time Series: Currently working on predictive modeling for financial markets.

Actuarial & Finance: Excel/VBA | R | Financial Modeling | Risk Theory

Tech & AI: Python | C++ | SQL | PyTorch | Scikit-Learn

Visualization & Design: Tableau | Adobe Illustrator | Photoshop