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About Me
Skills & Expertise
Financial Modeling
- •Options Pricing Models
- •Portfolio Optimization
- •Risk Assessment
- •Time Series Analysis
Machine Learning
- •Predictive Modeling
- •Deep Learning
- •NLP & Computer Vision
- •Reinforcement Learning
A data and quantitative engineer with expertise in financial modeling, machine learning, and AI systems.
I have a strong track record of developing innovative solutions for complex data and financial problems.
My experience spans developing sophisticated options pricing models, portfolio optimization tools, and quantitative trading systems. I have a particular interest in applying machine learning to financial markets and creating tools that make complex financial concepts more accessible.
I've worked extensively with time series analysis, statistical modeling, and algorithmic trading strategies. My work combines solid mathematical foundations with practical implementation, always focusing on delivering systems that provide actionable insights from complex data.
In addition to my financial work, I've developed AI systems for accessibility and human-computer interaction, including platforms for American Sign Language learning and speech emotion recognition.
I'm particularly interested in the intersection of AI and finance, exploring how machine learning can improve market predictions, risk assessment, and investment decisions in both traditional and cryptocurrency markets.
When I'm not coding or analyzing data, I enjoy contributing to open-source projects and mentoring aspiring data scientists and engineers. I believe in creating technology that has meaningful impact and empowers users.