Ramiro Manso Alarcón
About Ramiro Manso Alarcón
Ramiro Manso Alarcón is a Principal Data Scientist currently working at Keepler in Madrid, Spain. He has a background in data science and analytics, with previous roles at Beeva, Pragsis Bidoop, and Hibu.
Current Role at Keepler
Ramiro Manso Alarcón serves as Principal Data Scientist at Keepler, a position he has held since 2018. In this role, he focuses on leveraging data science techniques to drive insights and support decision-making processes. His work contributes to the development of data-driven solutions that enhance business operations and strategy.
Previous Experience at Beeva
Prior to his current role, Ramiro worked at Beeva for four years, from 2014 to 2018. He initially joined as a Data Scientist and later advanced to the position of Head of Analytics in 2017, where he led analytics initiatives and managed data projects. His experience at Beeva provided him with a solid foundation in data analysis and management.
Educational Background
Ramiro studied at Universidad Complutense De Madrid from 2008 to 2012, earning a degree over four years. He furthered his education in Data Science at The Johns Hopkins University from 2014 to 2015. Additionally, he completed a course at Udacity in 2017, enhancing his skills in the field of data science.
Early Career Experience
Ramiro began his career with an internship at Hibu in East Meadow, New York, from 2010 to 2011. He then worked as a Big Data Analyst at Pragsis Bidoop in Madrid for one year, from 2013 to 2014. These early experiences contributed to his expertise in data analytics and prepared him for more advanced roles in the industry.