Grecia Diaz
About Grecia Diaz
Grecia Diaz is a Data Analyst at Delivery Hero in Berlin, Germany, with extensive experience in data analysis, sales analytics, and customer behavior analysis across various industries and countries.
Title
Grecia Diaz holds the title of Data Analyst and is currently employed at Delivery Hero in Berlin, Germany.
Professional Background
Grecia Diaz has diverse experience in data and sales analysis. She currently works at Delivery Hero as a Data Analyst. Previously, she held the position of Associate Data Analyst at the same company, contributing for a year from 2020 to 2021. Additionally, Grecia has experience as a freelance Data Analyst in Paris, France, and worked on a summer project with Mustar.me in Moscow, Russia. Her early career involved various roles at Discovery Communications in Monterrey, Mexico, including positions as Sales Analyst, Ad Sales Research Analyst, and Research Intern.
Education and Expertise
Grecia Diaz completed her Master's degree in Data Science at the Skolkovo Institute of Science and Technology, attended from 2017 to 2019. She also completed a professional development course in Big Data as Business Strategy at Tecnológico de Monterrey, receiving a Diplomatura in 2016. Her undergraduate education includes a Bachelor's degree in Actuarial Studies from Universidad Autónoma de Nuevo León.
Data Analysis Skills
Grecia Diaz has extensive skills in Python and Tableau for data visualization and analysis. In her career, she has applied various analytical techniques including time series prediction, recommendation systems, and clustering for customer segmentation. She also has experience in automating reports using Business Intelligence tools, particularly within the TV advertisement sector.
Project and Research Experience
Throughout her career, Grecia Diaz has engaged in multiple analytical projects. She contributed to the analysis of customer behavior for a web-based entertainment startup and worked on automating sales analytics reports. Her research experience spans time series prediction, recommendation systems, and clustering techniques aimed at enhancing customer segmentation strategies.