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keanekwa/README.md

Hi there, I'm Keane 👋

  • 💻 My most recent projects include:

    • Optiver-Ready-Trader-Go (Quantitative finance trading algorithm submitted for an Optiver trading competition)
    • MathUwU (Full-stack web development project for quantitative finance interview preparation)
    • Inflation Prediction (Machine Learning x Finance/macroeconomics project)

  • 💼 I have interned in Coinhako as an Options Trading Intern & AlphaGrep as a Quantitative Researcher Intern.

  • 🏫 I am enrolled in a Direct-Masters program at the Nanyang Technological University in Singapore, studying Computer Science & Technology Management. I have also spent a year at UC Berkeley studying Computer Science under a fully-subsidized scholarship.

  • 🤝 I’m looking to collaborate on open-source projects, particularly Python, JavaScript/TypeScript, or C++ projects.

  • 📫 Socials: Email | LinkedIn | LeetCode

Top Langs

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  1. Optiver-Ready-Trader-Go Optiver-Ready-Trader-Go Public

    Implemented the Avellaneda-Stoikov market-making strategy in an automated trading algorithm. Completed as part of the Optiver Ready Trader Go competition.

    Python 57 21

  2. MathUwU MathUwU Public

    Gamified training platform for quantitative finance interviews. Full stack application developed with JavaScript (TypeScript & Next.js) and SQL (PostgreSQL). Deployed on Vercel and Railway.

    TypeScript 8

  3. Inflation-Prediction Inflation-Prediction Public

    Data science & machine learning project which studied the different factors affecting inflation. Explored different models including regression, KNN, ARIMA and LSTM.

    Jupyter Notebook 2

  4. Cryptographic-File-Sharing-System Cryptographic-File-Sharing-System Public

    End-to-end encrypted file sharing system built in Golang. Uses SHA-512, RSA, HMAC, and PRNG to ensure confidentiality, authenticity and integrity.

    Go

  5. Stock-Analysis Stock-Analysis Public

    Stock analysis project which used web-scraping to consolidate and calculate key investment metrics such as intrinsic value via DCA to analyze a company's financial health.

    JavaScript 1