Juan Ignacio Prieto has a strong background in business intelligence and analytics. Juan Ignacio is currently the Head of Business Intelligence and Analytics at Akapol, where they are responsible for designing the roadmap and strategy for the construction of the company's business analytics ecosystem. Juan Ignacio also promotes the adoption of self-service BI and ensures consistency and information security. Prior to that, Juan worked as a Business Intelligence Project Manager at Akapol.
Before joining Akapol, Juan worked at Tenaris for many years. Juan Ignacio served as an IT Project Manager and was responsible for managing the lifecycle of projects related to analytics for the commercial and logistics area. Juan Ignacio also led projects aimed at improving performance and data quality. Juan also worked as a Data Management IT Specialist and Senior BI Project Leader at Tenaris, where they were responsible for identifying information needs, defining data models, and managing data quality. Additionally, they worked as a BI Senior Functional Analyst, where they analyzed, designed, and tested business intelligence solutions.
Juan started their career as a Functional Analyst and Summer Trainee at Techint Group, where they were responsible for migrating a project to an online web platform integrated with an Oracle database.
Juan's academic experience includes being a Teaching Assistant at Universidad Nacional del Sur, where they taught courses on software project management and design and software development.
Overall, Juan Ignacio Prieto has a diverse and extensive background in business intelligence, analytics, project management, data management, and software development.
Juan Ignacio Prieto holds a Bachelor's Degree in Computer Science from the Universidad Nacional del Sur, with a specialization in Information Technology. Juan Ignacio has also obtained several additional certifications, including an Inducción Agile Básica con Framework Scrum from the Instituto Tecnológico de Buenos Aires in March 2020. Prior to that, they completed various online courses and trainings. These include Structuring Machine Learning Projects, Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization, Neural Networks and Deep Learning, Python for Data Science and Machine Learning Bootcamp, Data Science Foundations: Python Scientific Stack, Machine Learning, and Scala Essential Training for Data Science. These certifications were obtained between January 2019 and July 2019 from institutions such as Coursera, Udemy, and LinkedIn.
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