As a current Master of Data Science student with a completed Master of Finance in Financial Technology, I bring a unique blend of advanced technical skills and practical financial industry experience. My academic background includes specialized knowledge in cryptocurrencies, decentralization, and blockchain technologies.
My professional journey encompasses a stint as a Quantitative Researcher and multiple internships in the finance and investment sector, where I honed my analytical and strategic thinking skills. I have a strong portfolio of projects where I utilized Python for data analysis and machine learning, showcasing my ability to apply theoretical knowledge to real-world financial problems.
In addition to my practical experience, I have contributed to the academic community with a published journal article focusing on stock price prediction models. This publication underscores my research capabilities and my commitment to advancing the field of financial technology through data science.
My combined expertise in data science and financial technology positions me uniquely to contribute to innovative projects at the intersection of these fields. I am driven by a passion for leveraging data to uncover insights and inform investment strategies, aiming to be at the forefront of the evolving landscape of financial technology.