A showcase of my work in quantitative finance, machine learning, and software development. Each project represents a unique challenge and learning experience, from algorithmic trading strategies to quantum computing implementations.
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Advanced volatility modeling system for Bitcoin using Autoregressive Conditional Heteroskedasticity (ARCH) models with interactive Streamlit dashboard for cryptocurrency analysis and forecasting.
Implementation of quantum encryption and decryption algorithms using quantum computing frameworks, demonstrating advanced cryptographic techniques with IONQ and CIRQ integration.
Advanced quantitative trading system implementing cross-sectional momentum strategies with automated portfolio rebalancing, backtested from 2018-present using pandas and Alpha Vantage API.
A quantitative trading strategy implementation that identifies and exploits momentum patterns across multiple asset classes using cross-sectional analysis and ranking methodologies.
Advanced volatility modeling for Bitcoin using GARCH (Generalized Autoregressive Conditional Heteroskedasticity) with Docker deployment and Streamlit visualization.
Implementation of the BB84 quantum key distribution protocol demonstrating secure communication principles using quantum entanglement and superposition.