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Ramiro Manso Alarcon has had a progressive career in the field of data science and machine learning. Ramiro began their work experience as an Intern at Yell, where they were part of the developer team that created a parameterized search engine. Ramiro gained knowledge in relevance algorithms and search engine indexes during this role.

After their internship, Ramiro joined Pragsis as a Big Data Analyst. In this position, they developed algorithms for projects like viral churn and twitter analysis. Ramiro also worked with technologies from the Hadoop ecosystem, such as Hive and HBase, and applied machine learning techniques for telecom client analysis.

Ramiro then moved to BEEVA, where they first served as a Data Scientist and later became the Head of Analytics. In these roles, they worked on various projects ranging from exploratory analysis to machine learning models in production. Ramiro also managed a team of 10+ data scientists and contributed to the growth of BEEVA in the data science area.

Currently, Ramiro is a Lead Data Scientist & Head of Generative AI at Keepler. Ramiro has been with the company since its early days and has played a significant role in its growth. Ramiro has led a team of over 35 talented individuals and has been involved in diverse projects such as customer service audio analysis, chatbot automation, and dynamic pricing optimization.

Ramiro's technical skills include Python, R, Docker, deep learning frameworks (e.g., TensorFlow, MxNet, PyTorch), and various public cloud providers (AWS, GCP, Azure). Ramiro has a track record of applying data quality techniques, implementing machine learning projects, and utilizing advanced analytics tools.

Ramiro Manso Alarcon has a diverse educational background in the field of technology and data science. In 2008, they began their education at the Universidad Complutense de Madrid, where they pursued a degree in Ingenieria Tecnica Informatica de Gestion. Ramiro completed their studies in 2012.

In 2014, Ramiro furthered their education by obtaining multiple certifications through Coursera and edX. These certifications include "R Programming," "Exploratory Data Analysis," "Getting and Cleaning Data," and "The Data Scientist's Toolbox." Additionally, they obtained an edX Honor Code Certificate for "Introduction to Big Data with Apache Spark." These certifications highlight their proficiency in various data-related topics.

To strengthen their knowledge and skills in machine learning, Ramiro pursued a Deep Learning Nanodegree from Udacity in 2017. Prior to that, in the same year, they completed a Deep Learning Nanodegree Foundation from the same institution. These programs deepened their understanding of artificial intelligence and machine learning.

Ramiro's educational journey continued with another specialization from Coursera, this time in Data Science, offered by Johns Hopkins University. Ramiro enrolled in this program in 2014 and completed it in 2015.

In 2017, Ramiro pursued the Natural Language Processing Nanodegree from Udacity, focusing on the field of artificial intelligence.

Moreover, Ramiro holds the certification of "AWS Certified Solutions Architect" obtained from Amazon Web Services in November 2017.

Overall, Ramiro Manso Alarcon has a solid educational background that encompasses areas such as technology, data science, artificial intelligence, machine learning, and computer programming.