Federico Anzil

Federico Anzil has a diverse work experience in data engineering, analytics, and digital marketing. Federico is currently working as a Data Engineer - Integrations at Proton.ai since May 2022. Prior to that, they worked at Margera as an Analytics Engineer from March 2021 to January 2022, and as a Data Engineer from January 2022 to May 2022. At Margera, they were responsible for data pipelines, Python, SQL, BigQuery, web application development using Flask, JS, and Google Cloud Platform, as well as analytics using Google Analytics and GTM.

Before joining Margera, Federico had a role as a Data Analyst & Digital Marketing professional at Visme from October 2018 to March 2021. Additionally, they have experience as the Founder of their own company in digital marketing starting from January 2006 until September 2018. In this role, they managed websites with over 1.5 million monthly unique pageviews, utilized Google Analytics, Google Console, AdSense, and DFP, and successfully closed multiple advertising campaigns.

Furthermore, Federico has previous experience as a Data Analyst at CLIBA in 2005, where they implemented a data acquisition system to optimize field operations and reduce costs for a fleet of 50+ trucks. Federico also generated data analysis reports using Excel, VBA, and SPSS, collaborating with a team of external advisors.

Federico Anzil obtained a Bachelor's degree in Economics from Universidad Nacional de Córdoba, where they studied from 1998 to 2004. In 2003 and 2004, they also pursued studies in Economics as an undergraduate at the University of Tübingen. Additionally, Federico has obtained various certifications, including the Applied Data Science Specialization and IBM Data Science Professional Certificate from IBM in February 2020. Federico also completed courses in Data Science Methodology from Coursera in January 2020, Data Visualization with Python from Course in January 2020, Machine Learning with Python from Coursera in January 2020, Python Programming from DataCamp in August 2019, Intermediate SQL from DataCamp in July 2019, Intro to SQL for Data Science from DataCamp in March 2019, Introduction to Data Science in Python from Coursera in October 2018, Introduction to the Tidyverse from DataCamp in February 2018, and Intermediate R from DataCamp in January 2018.