About Me

I am an undergraduate student pursuing a degree in Economics, Finance, and Data Science at Imperial College London. I have a strong passion for integrating technology with finance, which drives my approach to solving complex problems. My core strengths lie in data analysis, programming, and financial modeling, which enable me to handle challenging projects with a methodical and results-oriented mindset.

My technical expertise includes proficiency in Python, Java, SQL, R, and data visualisation tools, which I use to analyse large datasets and develop predictive models. I am particularly skilled in using statistical methods to uncover insights and trends in data. Through my academic coursework and personal projects, I have gained hands-on experience in applying these techniques, providing me with a well-rounded understanding of both the technical and financial aspects of problem-solving.

In addition to programming, I am experienced in web development and have a strong foundation in HTML, CSS, and JavaScript, which complements my data science skills. My approach to projects involves a combination of creativity and analytical thinking, allowing me to develop innovative solutions while maintaining a focus on accuracy and efficiency.

My interests also extend to the practical applications of data science in finance, such as optimising decision-making processes and improving financial forecasting. I am constantly seeking new opportunities to apply my technical skills in real-world settings, whether through internships, academic projects, or personal initiatives. I am particularly drawn to roles that allow me to work with data to drive strategic decisions and develop solutions that have a tangible impact.