ning xu

I am a highly motivated and detail-oriented data scientist with a strong background in machine learning, natural language processing, and big data manipulation. With a Master's degree in Applied Data Science from the University of Michigan, I have developed a solid foundation in statistical modeling, data visualization, and software development.

Throughout my career, I have demonstrated expertise in machine learning projects using Python machine learning libraries such as Scikit-learn, Keras, and TensorFlow. I am also proficient in data visualization using Tableau, Altair, Squarify, Geopandas, Matplotlib, and Seaborn. My experience in web app development with Flask, HTML, and CSS has enabled me to create interactive and user-friendly applications.

As a founder of Lightening Data Science Education studio, I have successfully tutored students in mathematics, statistics, and machine learning projects, achieving a 100% satisfaction rate. My experience as an Operational Data Analyst at HSBC has equipped me with the skills to automate data processing, create data pipelines, and provide decision-support tools to executives.