About

Rachael Stone is an experienced Data Scientist with over 6 years of experience in the Tech Industry. She is currently working at Pluralsight as a Data Scientist, where she focuses on providing the best data analysis, research, artificial intelligence, and machine learning. Rachael has a strong emphasis on statistics and experimental design, which enables her to create statistical predictive models to solve business problems and provide insight into business decisions. Rachael has a Master of Science (M.S.) degree in Statistics from Utah State University, which has equipped her with the necessary skills to work with tools such as Python, R, SQL (Hadoop and Snowflake), Hive, AWS, and Salesforce. Her current projects at Pluralsight have aided in the optimization of marketing spending and sales efforts, which have had a significant impact on the company's growth. Before joining Pluralsight, Rachael worked as a Data Strategist Intern at the same company, where she worked with Salesforce CRM as an admin and beginning developer as a sales operations and digital marketing team member. She also worked as a Statistics Course and Lab Instructor at Utah State University, where she taught students college algebra, pre-calculus, and business statistics material. Rachael's TechStack includes Research Scientist, Data Scientist, SQL, Snowflake, Python, AWS, Salesforce, ML, Hadoop, and Apache Hive. Her relevant experience in the field of Data Science is 6.20 years. Rachael is a strong data professional with a passion for providing the best data-driven solutions to solve business problems.