Xiaolu Li

Background

About Xiaolu Li

I am a data-driven investment manager with expertise in financial analytics and machine learning. I work at EARNEST Partners, a global asset management firm that manages over $20 billion in assets for institutional clients. At EARNEST Partners, I apply my data science and machine learning skills to analyze market trends, identify investment opportunities, and optimize portfolio performance. I have contributed to the development and implementation of various models, such as linear/logistic regression, tree, SVM, neural network, and unsupervised learning, to support the firm's investment strategies and decisions. I have also leveraged Python, R, VBA, MySQL, Tableau, AWS, and Linux command to automate data collection, processing, and visualization. I hold a master's degree in financial analytics from Stevens Institute of Technology, where I gained a solid foundation in financial theory, data analysis, and programming. I have also completed multiple certifications, such as Machine Learning from Stanford University, to enhance my knowledge and expertise in the field. I am passionate about leveraging data and technology to solve complex problems and create value for the financial industry. I aspire to continue learning and growing as a data-savvy investment professional.