Caroline Mc Donald
About Caroline Mc Donald
Caroline Mc Donald is a Senior Data Scientist at Procter & Gamble with extensive experience in machine learning and retail operations optimization.
Title at Procter & Gamble
Caroline McDonald is currently a Senior Data Scientist at Procter & Gamble. She took on this role in 2023 and is based in Cincinnati, Ohio. Caroline is responsible for leveraging her expertise in data science to support the company's decision-making processes and optimize operations.
Professional Experience at Procter & Gamble
Before her current position, Caroline worked as a Data Scientist at Procter & Gamble from 2020 to 2023. During her three-year tenure, she contributed to various projects aimed at improving the company's retail operations through advanced data analytics and machine learning techniques.
Professional Background at Microsoft
From 2019 to 2020, Caroline McDonald worked on a Capstone Project as a Data Scientist at Microsoft in Redmond, Washington. In this role, she applied her data science skills to solve complex problems, helping to enhance business strategies and optimize performance metrics.
Internship at Morgan Stanley
Caroline McDonald interned at Morgan Stanley from 2018 to 2019, spending ten months at the company's San Francisco Bay Area office. During her internship, she gained valuable experience in the financial sector, applying data science methodologies to assist in various analytical tasks.
Education at The London School of Economics and Political Science
Caroline earned her Master of Science (MS) in Data Science from The London School of Economics and Political Science (LSE) between 2019 and 2020. Her education here provided her with a solid foundation in data science, which she has since applied in her professional roles.
Specialization in Data Science
Caroline McDonald specializes in ensemble learning techniques, particularly for optimizing retail operations in North America. With over three years of experience in applying machine learning to solve real-world problems in the retail sector, she brings a wealth of practical knowledge to her current role as Senior Data Scientist.