With over 8 years of experience in data analysis, management, and innovation, I am passionate about transforming data into insights, solutions, and value for the finance industry. I have a master's degree in applied data science from Syracuse University, and I am proficient in Python, R, SQL, and machine learning techniques. I am also fluent in English, Japanese, and Welsh, and I enjoy learning about different cultures and perspectives.Most recently, I was the data governance and analytics lead at Citi, where I managed the ICG high and critical reported data concerns, reducing the backlog by 30% in a month. I also utilized data mining and natural language processing to eliminate and classify data concerns, and designed a dashboard in Python for weekly updates. Previously, I was the vice president of finance data innovations at Morgan Stanley, where I led a team of four junior members and worked on replacing and automating the existing fleet of Access based EUCs. I also explored data science opportunities for possible RWA savings and stress testing scenarios. Before that, I was the vice president of data solutions at Mizuho, where I created and executed data solutions for the finance team, including automation of FRY-15, FRY-9C, and RWA calculation for regulatory reporting. I also designed a data dictionary and used machine learning to automate customer classification.
Listed skills include Leadership, Team Building, R, Sharepoint Administration, and 46 others.