Xuan Yang

With over 4 years of data science experience in the auditing industry, I have a proven track record of developing data science approaches for audit in various product areas. I am also keen in developing noval DS approach for audits especially related to model evaluation, statistical testing, and anomaly detection using Python, SQL, and visualization tools. With skills in data mining, machine learning, natural language processing, predictive analytics, business intelligence, and data visualization, I am passionate about using data to improve the efficiency and effectiveness of auditing.