About Me
I am an enthusiastic Data Scientist and Data Analyst. With over three years of working experience, I'm currently expanding my knowledge by pursuing a Master's in Data Science at Fordham University. My passion lies in exploring the intricacies of AI and Federated Learning, the nuances of Option Pricing through Reinforcement Learning, the potential of Large Language Models, the innovations of AutoML, and the vast realm of Big Data.
Beyond the tools and techniques, it's my innate attention to detail, rapid assimilation of new concepts, and a keen analytical eye that truly define me. These attributes have not only allowed me to devise novel solutions to prevalent challenges but also refine my essence as a reliable team collaborator and an adept problem solver. Every project I've taken under my wing, whether collaborative or solo, has been a testament to my undying commitment and skillset in this expansive field of study.
Major Focus
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Data Science
I am adept at extracting insights from complex datasets, applying machine learning algorithms, predicting future patterns, and tell a story.
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Quant Analysis
I employ advanced quantitative techniques to derive actionable insights from financial and economic data.
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Federated Learning
I design, implement, and deploy federated learning frameworks to enable machine learning models to train on decentralized datasets, safeguarding privacy while improving model performance.
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End-to-End Full Stack Data Engineering
I architect and implement holistic data solutions, managing both backend data infrastructures and front-end data applications.
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Data Visualization for good
I craft compelling and informative visualizations that convey meaningful data-driven narratives for positive impact.
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