
Featured
• Building talphy.com — a social discovery platform focused on authentic, real-life connections and spontaneous meetups.
• Designed and developed the full marketing website using React, Vite, and Tailwind CSS .
• Implemented a waitlist signup flow backed by Supabase, enabling early user capture and structured lead management from launch.
• Currently building the Talphy mobile app — extending the platform from web presence to a full spontaneous social discovery experience.
• Assisted in the development of quantitative models and trading strategies for financial markets, contributing from research through live validation.
• Conducted systematic data analysis and backtesting to evaluate strategy performance, risk-adjusted returns, and edge robustness across market regimes.
• Developed and backtested trading strategies using Python, Pandas, and NumPy, working across equity, FX, and derivative instruments.
• Achieved a 98% performance gain in backtesting speed through vectorization — cutting runtime from 25 minutes to under 10 seconds, enabling rapid iteration across strategy variants.
Featured
Building talphy.com, a social discovery platform and marketing website centered on real-world connections and spontaneous meetups.
KNN classification model for telecom dataset. Built with Python and scikit-learn.
About

Building Talphy (talphy.com) while exploring DSA and learning new things along the way. I enjoy working on data science, machine learning, and building things that solve real problems.
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Dhyandave28's coding journey over the past year
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