Ignacio Vilaplana · Lead Data Scientist at Euskaltel // Bedrock @ LAPIPA_Studios
Manage episode 304803179 series 2898794
Por LA PIPA - BEDROCK - REMOTIVE descubierto por Player FM y nuestra comunidad - los derechos de autor son propiedad de la editorial, no de Player FM, y el audio se transmite directamente desde sus servidores. Presiona el botón de suscripción para rastrear cambios en Player FM o pega el URL del feed en otras aplicaciones de podcast.
New episode of the podcast Data Stand-Up. On this occasion Jesús talks with Ignacio Vilaplana, Lead Data Scientist at Euskaltel, one of the main Spanish telecommunications companies that responds comprehensively to the communication needs of people, institutions and companies.
Ignacio is a passionate about Data Science and Machine Learning evangelist, Pythonist at heart and R lover too. Finance specialist with knowledge of financial regulation, risk management, project management, programming and mathematics. Professional experience with Java, C, Excel VBA and SQL. Financial Risk Manager (FRM) and Azure Data Science Certified.
"Artificial intelligence is a method of solving questions. There are many questions that a company can ask and find an answer, the AI is in charge with the data that you have available to give you the best possible. We focus the AI or to increase the income or to reduce the costs of the companies".
Ignacio is a passionate about Data Science and Machine Learning evangelist, Pythonist at heart and R lover too. Finance specialist with knowledge of financial regulation, risk management, project management, programming and mathematics. Professional experience with Java, C, Excel VBA and SQL. Financial Risk Manager (FRM) and Azure Data Science Certified.
"Artificial intelligence is a method of solving questions. There are many questions that a company can ask and find an answer, the AI is in charge with the data that you have available to give you the best possible. We focus the AI or to increase the income or to reduce the costs of the companies".
44 episodios
))
