Arielle Kan

Arielle Kan is a versatile and accomplished data scientist with a wealth of experience in the industry. She studied for her Bachelor of Science degree at Cornell University before completing a Master of Arts degree at New York University Gallatin School of Individualized Study. Throughout her career, she has held several positions with Amazon, one of the leading e-commerce and cloud computing companies in the world. These positions include Senior Data Scientist, Data Scientist, Business Intelligence Engineer, and Business Analyst. Prior to working at Amazon, Ms. Kan served as a Senior Data Scientist at Cray Inc. and a Senior Associate at PwC.

Ms. Kan's broad range of skills and expertise includes proficiency in data analysis, machine learning, statistical modeling, and predictive analytics. Her extensive knowledge of such tools as Python, R, SQL, and Amazon Web Services (AWS) makes her an ideal candidate for organizations looking for someone to support their data-driven decision-making processes. Ms. Kan's roles at Amazon demonstrate her ability to use data to deliver impactful insights that help drive business growth and development.

Overall, Arielle Kan's background is one of a skilled and experienced data scientist who is knowledgeable about statistical analysis and machine learning. With her expertise and experience gained from working with Amazon and other reputable companies, she can provide valuable insights and improve a company's analytical and decision-making capabilities.