Passionate about Financial Technology with a solid foundation in Machine Learning, I am currently advancing my expertise through a Bachelor of Engineering at The Chinese University of Hong Kong. My academic and professional experiences have shaped my passion for utilizing data to create innovative solutions that drive success in the finance and technology sectors.My technical expertise spans across programming languages such as Python, SQL, C++, and Java, as well as advanced machine learning frameworks like TensorFlow and Scikit-learn. With a strong foundation in statistical and financial modeling, I specialize in areas such as regression analysis, time series forecasting, and portfolio optimization. My proficiency in data visualization tools like Tableau and Power BI enables me to translate complex datasets into clear, actionable insights that support strategic decision-making.In addition to my technical roles, I have completed impactful projects including Portfolio Optimization using Machine Learning, where I boosted portfolio returns by 20%, and Warranty Claims Fraud Prediction, achieving 95% accuracy in detecting fraudulent activities. These experiences have not only honed my analytical skills but also reinforced my ability to deliver data-driven solutions that meet business objectives.I am passionate about collaborating with professionals who share my enthusiasm for technology and finance. I look forward to connecting with others to explore opportunities where I can contribute my skills and continue to grow in a dynamic and challenging environment.