Marcelo Silva Email & Phone Number

Professional with an MBA in Education, graduated in Information Systems, fluent in the English and more than 22 years of experience in the area of ​​Technology, working in large national and multinational companies, highlighting the segments Public, Consulting in Technology Information and Wholesale and Retail of Autoparts. Expertise in planning strategies and technical decisions to achieve competitive advantages through the improvement or construction of new technological innovation processes, introducing a data-oriented culture and integration with Artificial Intelligence (AI) resources. Active agent in digital transformation, directly interfacing with stakeholders for the development of new solutions and innovation projects related to UX/UI, Software Architecture, Artificial Intelligence, Data Science, Data Engineering, Devops, Software Development, among others. others, using agile methodologies (Scrum, Lean, XP and Kanban) and following schedules, in order to guarantee that all activities are executed according to the guidelines established by the company and delivered with quality to the final customer. Strong performance as Product Manager, performing analysis and mapping of processes, in order to contribute to the continuous improvement of operational flows. Experience with languages/technologies: Java, Design Patterns, Python, R, Keras, Tensorflow, SQL, Hadoop (Hive, MapReduce, sqoop, Hbase, MogoDb, Hue, Ambari), Spark, ElasticStack, Linux, Oracle, Microsoft Excel, Tableau, PowerBI, Knime, Oracle Advanced Analytics, Kafka and Docker. Solid knowledge in preparing management reports, monitoring performance indicators and providing support for decision-making. Highly qualified professional to manage and lead people, working with high performance team leadership, dedicated to the functions and focused on results. Keywords: CTO, Chief Tecnology, Digital transformation, artificial intelligence, technological innovation, IT management, project management, solution development, technological solutions, UX/UI, Software Architecture, Artificial Intelligence, Data Science, Data Engineering, Machine Learning, Fraud Detection, Devops, Software Development, agile methodologies, Scrum, Lean, XP, Kanban, Product Owner, Product Manager, management reports, indicators, people management.

Listed skills include Desenvolvimento De Software, Machine Learning, Data Mining, Big Data, and 36 others.