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Ramprakash Ramamoorthy

Director - AI Research at Zoho & ManageEngine

Contact Ramprakash

Education Overview

shanmugha arts science technology and research academy

kvs matric higher secondary school

Companies Overview

zoho

Experience Overview

12.8 Years

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Experience

Member Leadership Staff - Machine Learning & Analytics

zoho

2011 - Present

Software Development Intern

zoho

2011 - 2011

Skills

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analytics

Artificial Intelligence (AI)

Integration

Leadership

Machine Learning (ML)

Product Management

product manager

Research

Research Scientist

Contact Details

Email (Verified)

xxxxxxxx@xxxx.xx

Mobile Number

+91XXXXXXXXXX

Education

shanmugha arts science technology and research academy

B.Tech

2008 - 2012

kvs matric higher secondary school

1994 - 2008

Frequently asked questions

What company does Ramprakash Ramamoorthy work for?

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Ramprakash Ramamoorthy works for zoho

What is Ramprakash Ramamoorthy role in his workplace?

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Ramprakash Ramamoorthy's role in his workplace is Member Leadership Staff - Machine Learning & Analytics

What is Ramprakash Ramamoorthy's tenure in his workplace?

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Ramprakash Ramamoorthy's tenure in his workplace is 13.01 years

What is Ramprakash Ramamoorthy's total experience?

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Ramprakash Ramamoorthy's total experience is 12.83 years

What is Ramprakash Ramamoorthy's LinkedIn profile?

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Ramprakash Ramamoorthy's LinkedIn profile can be found here

What is Ramprakash Ramamoorthy's email address?

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Ramprakash Ramamoorthy's email address is xxxxxxxx@xxxx.xx. Unlock here

What is Ramprakash Ramamoorthy's phone/WhatsApp number?

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Ramprakash Ramamoorthy's phone number is +91XXXXXXXXXX. Unlock here

What schools did Ramprakash Ramamoorthy attend?

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Ramprakash Ramamoorthy has attended shanmugha arts science technology and research academy, kvs matric higher secondary school

What companies has Ramprakash Ramamoorthy worked with?

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Ramprakash Ramamoorthy has worked with zoho, zoho

What are some of Ramprakash Ramamoorthy's skills?

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Ramprakash Ramamoorthy has skills in analytics, Artificial Intelligence (AI), Integration, Leadership, Machine Learning (ML), Product Management and more.

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