Cristian Ariel Pesce
About Cristian Ariel Pesce
Cristian Ariel Pesce is a Senior Data Analyst with extensive experience in data analysis and engineering. He has worked at various organizations, including Rappi and Telecom Argentina, and is currently employed at Platzi while pursuing degrees in Data Science and Applied Data Science.
Work at Platzi
Cristian Ariel Pesce has been employed at Platzi as a Senior Data Analyst since 2022. In this role, he engages in stakeholder meetings to ensure that data-driven insights align with business objectives. He utilizes advanced data transformation and modeling techniques with DBT, and employs tools such as Airflow and Google Cloud Platform (GCP) for data engineering and workflow automation. His contributions support the organization's data analysis and decision-making processes.
Previous Experience in Data Analysis
Prior to his current position at Platzi, Cristian worked at several organizations in data analysis roles. He served as a Junior Data Analyst at Rappi from 2020 to 2021 for one year. Following that, he worked at Telecom Argentina as a Semi-Senior Data Analyst from 2021 to 2022 for eight months. Additionally, he held the position of Senior Analyst at Facultad de Ciencias Económicas UNC from 2017 to 2020 for three years, where he gained significant experience in data analysis.
Education and Expertise
Cristian Ariel Pesce studied at Facultad de Ciencias Económicas UNC, where he achieved a degree in Accounting from 2012 to 2019. He is currently pursuing an undergraduate degree in Data Science, Machine Learning, and its applications at Facultad de Matemática, Astronomía, Física y Computación UNC since 2020. Additionally, he is studying at Universidad Tecnológica Nacional to obtain an undergraduate degree in Applied Data Science, which he began in 2021. He has expertise in various data visualization tools, including PowerBI, Looker Studio, Tableau, and Superset.
Interest in Emerging Technologies
Cristian has a strong interest in emerging fields such as Artificial Intelligence (AI), Big Data, and Machine Learning. This interest drives his continuous learning and application of new technologies in his data analysis work. His engagement with these fields reflects a commitment to staying updated with industry trends and enhancing his skill set in data science.