Yenepoya University Employee Directory

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IN - karnataka - karnataka

About Yenepoya University

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Yenepoya University Leadership:

Employee	Department	Total Email Source
Chef Venugopal executive chef	Executive	0	Email

Contact profiles Yenepoya University:

Employee	Department	Total Email Source
Divya Uchil researcher		2	Email
Rajesh Karkera deputy director of information technology mangalore	Management	1	Email
Anurag Bhargava		2	Email
Bipasha Bose faculty-in-charge		3	Email
Asim Syed Sheeraz CEO, Incubator		1	Email
Rc Koumar associate professor		0	Email
Manodeep Chakraborty associate professor		0	Email
Rashmi Jain associate professor		0	Email
Renjith Johnson assistant professor		0	Email
Dhiyouf Ali profesional		0	Email
Umarani Jayaraman professor		0	Email
Padma Mohanan professor		0	Email
Vinaya Kumary lecturer		0	Email
Shobith Bangera assistant professor		0	Email
Navya Bhandary lecturer		0	Email
Periodontics Ydc department of periodontics	Management	0	Email
Sumrati Gurtoo ph.d scholar		0	Email
Parameshwar Ymk warden		0	Email
Hezil Reema lecturer		0	Email
Gireesh Gr associate professor		0	Email
Supriya Jain jrf		0	Email
Faraz Fathima jrf		0	Email
Altaf Khan associate professor		0	Email
Shyamjith Manikkoth assistant professor		0	Email
Rizwan Sheikh it professional	IT	0	Email
Faizan Khan assistant professor		0	Email
Rekha Pd professor and deputy director		0	Email
Shemjaz Maniyat assistant professor department of physical therapy		0	Email
Praveen Pinto senior .assistant it		0	Email
Parameshwar Ymk warden		0	Email
Viceprincipal Ydc vice principal		0	Email
Bhagya Sharma lecturer		0	Email
Praveen Praveenalva it administrator	IT	0	Email
Pro Yenepoya pro		0	Email
Vinej Somaraj postgraduate researcher		0	Email

Yenepoya University Email Metrics

Yenepoya University has 105 email addresses.

Yenepoya University has 94 personal email addresses, .

Yenepoya University has 11 generic email addresses.

Email Finder

The Email Finder can find an email address with a good level of certainty. It either returns one we have in our base, or predicts one by analyzing the domain data.