Irfan Elahi
3 SlideShares 415 Seguidores 371 Siguiendos
Personal Information
Organización/Lugar de trabajo
Melbourne, Australia Australia
Ocupación
Data Scientist (Consultant) at Deloitte Australia + Premium Udemy Instructor
Sector
Technology / Software / Internet
Sitio web
irfanelahi.com
Acerca de
The genesis of data science is that it is cross-disciplinary. My diverse exposure, engineering background, intellectual curiosity combined with my relentless passion make me stand out from others. I have years of multi-disciplinary experience in Data Science and Machine Learning and have worked in a number of verticals like consultancy firms, my own start-ups and academia research lab. Over the years I have worked on a number of Data Science and Machine Learning projects in different niches like Telecommunication, Retail, Web, Public Sector and Energy with the goal to enable businesses to derive immense value from their data-assets.
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Etiquetas
big data hadoop machine learning big data lecture big data analytics big data challenges big data trends data warehousing database analysis azure aws spark cloud computing cloud analytics career data science
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Presentaciones

(3)

EE to Data Science - Why and How of the Pivot

Hace 7 años • 192 Visualizaciones

Scalable Analytics on the Cloud

Hace 5 años • 108 Visualizaciones

When Databases Meet Big data and Hadoop - Uni of Tromso Online Lecture

Hace 5 años • 31 Visualizaciones
Personal Information
Organización/Lugar de trabajo
Melbourne, Australia Australia
Ocupación
Data Scientist (Consultant) at Deloitte Australia + Premium Udemy Instructor
Sector
Technology / Software / Internet
Sitio web
irfanelahi.com
Acerca de
The genesis of data science is that it is cross-disciplinary. My diverse exposure, engineering background, intellectual curiosity combined with my relentless passion make me stand out from others. I have years of multi-disciplinary experience in Data Science and Machine Learning and have worked in a number of verticals like consultancy firms, my own start-ups and academia research lab. Over the years I have worked on a number of Data Science and Machine Learning projects in different niches like Telecommunication, Retail, Web, Public Sector and Energy with the goal to enable businesses to derive immense value from their data-assets.
Etiquetas
big data hadoop machine learning big data lecture big data analytics big data challenges big data trends data warehousing database analysis azure aws spark cloud computing cloud analytics career data science
Ver más