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>projects
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01Fine-tuned FinBERT to classify financial news sentiment in real time. Web-scraped market headlines and achieved 86% accuracy โ actionable signal research for market trend evaluation.
Student-focused personal finance chatbot for NZ university students. Budgeting, saving, KiwiSaver guidance powered by trusted local sources โ delivered through an interactive Botpress webchat.



Capstone MVP connecting people with local clubs, classes, and community groups. Personalized discovery feed, search & filters, bookmarking, and a club organiser dashboard โ built with a team of four using agile methodology.
04AI physique benchmark platform in development. Visual AI generates a TierScore (1โ100) from body scans โ scan, share, improve. Training, nutrition, and leaderboards in one loop. Scan. Score. Ascend.
>expertise
Applying rigorous statistical methods to uncover structure in complex data. Building models that turn uncertainty into clear, actionable insight.
Designing intelligent systems that learn from data and improve over time. End-to-end pipelines from research through to reliable, production-ready outputs.
Strong grasp of market dynamics, fundamentals, and how to read financial data. Connecting theory with analysis to support sound, well-reasoned decisions.
Building dependable pipelines that collect, clean, and structure data at scale. The backbone that keeps research, reporting, and operations running smoothly.
Developing tools and systems that multiply what a team can do. Practical, well-built solutions that automate workflows and scale with the problem.
>about
I'm Shyam Hari โ a Quantitative Trading Analyst at Mahi Markets, where I work at the intersection of markets, data, and technology.
I hold a Master's in Computer Science and a Bachelor's in Finance from the University of Canterbury. My background spans technology, machine learning, and financial analysis
Outside of markets, I play saxophone and guitar, and try to squeeze in a round of golf each week.

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