About me
As an enthusiastic programmer with a deep passion for Deep Learning and Machine Learning, I've honed my skills through impactful projects, internships, and published research papers. Actively engaging with evolving topics in AI-ML and Data Science, I strive for continuous learning. My expertise extends to the intersection of quantitative analysis and machine learning in finance, showcasing a versatile skill set. Committed to innovation, I aim to make lasting contributions to these dynamic fields.
What i'm doing
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Research
Frequent participation in research at several fields of Machine Learning: Time Series Modelling, Statistical Modelling, Quantitative Finance, Quantitative Analytics, Generative AI, Automation and Deep learning.
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Projects
Engaged in a consistent and impactful journey, actively contributing to AI & ML projects and internships. You can explore the Projects section for a comprehensive overview of my hands-on experiences and achievements in Quantitative Finance and Machine Learning.
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Open Source
Active in open-source initiatives, I've crafted solutions for competitions and student hackathons, promoting collaboration within open-source communities.
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Trading
Fueled by a fervor for trading, I've navigated diverse markets, honing strategies and insights. Each trade is not just a transaction but a step in a thrilling journey that drives my unwavering passion.
Professional Experience
![Daniel lewis](./assets/images/avatar-1.png)