Artwork

Contenido proporcionado por AI Mentors. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente AI Mentors o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.
Player FM : aplicación de podcast
¡Desconecta con la aplicación Player FM !

E40 Wally Lo Faro, VP of Data Science at Mastercard

22:31
 
Compartir
 

Manage episode 319520225 series 3248083
Contenido proporcionado por AI Mentors. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente AI Mentors o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.

Today's guest is Wally Lo Faro, VP of Data Science at Mastercard. Wally has successfully built the data science capabilities and team in MasterCard Operations and Technology over the past five years. He is responsible for applying advanced techniques for improving and maintaining data quality of very large data sets, information product ideation and development as well as applying data science principles for process improvement.

Wally has applied techniques from the areas of mathematics, machine learning, information retrieval, text analysis and statistics to design highly scalable approximate string matching systems, data quality monitoring and alerting systems, and fraud detection applications. He has also worked in designing marketing analytics and modeling environments, as well as building scalable and personalized recommendation engines.

In the episode, Wally will tell you about:

Interesting projects he is leading at Mastercard,

How his role has evolved in his 13 years with the company,

Transitioning from academia to industry,

3 ways you can get involved in AI and Data Science,

What the ideal Data Science team looks like,

How to successfully add business value from Data Science projects,

and What he looks for in an interview

  continue reading

56 episodios

Artwork
iconCompartir
 
Manage episode 319520225 series 3248083
Contenido proporcionado por AI Mentors. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente AI Mentors o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.

Today's guest is Wally Lo Faro, VP of Data Science at Mastercard. Wally has successfully built the data science capabilities and team in MasterCard Operations and Technology over the past five years. He is responsible for applying advanced techniques for improving and maintaining data quality of very large data sets, information product ideation and development as well as applying data science principles for process improvement.

Wally has applied techniques from the areas of mathematics, machine learning, information retrieval, text analysis and statistics to design highly scalable approximate string matching systems, data quality monitoring and alerting systems, and fraud detection applications. He has also worked in designing marketing analytics and modeling environments, as well as building scalable and personalized recommendation engines.

In the episode, Wally will tell you about:

Interesting projects he is leading at Mastercard,

How his role has evolved in his 13 years with the company,

Transitioning from academia to industry,

3 ways you can get involved in AI and Data Science,

What the ideal Data Science team looks like,

How to successfully add business value from Data Science projects,

and What he looks for in an interview

  continue reading

56 episodios

Tous les épisodes

×
 
Loading …

Bienvenido a Player FM!

Player FM está escaneando la web en busca de podcasts de alta calidad para que los disfrutes en este momento. Es la mejor aplicación de podcast y funciona en Android, iPhone y la web. Regístrate para sincronizar suscripciones a través de dispositivos.

 

Guia de referencia rapida