Randeep Singh Email and Phone Number
Randeep Singh work email
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Randeep Singh phone numbers
Healthcare: Philips Research, SAP Labs, Tata Memorial CentreRobotics: Projects at Bhabha Atomic Research Centre (BARC), BombayExperience: 24+ years developmental experience on various platforms and technologiesEducation: Bachelors, Masters (1993-98), PhD (2001-06) from IIT Bombay Specialties: Healthcare Informatics, Precision Medicine, Algorithm Development, Computer Vision, Artificial Intelligence, Robotics, Embedded Systems, Product Innovation
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Leader - Healthtech, Ai In HealthcareIkitesGurugram, Hr, In -
CeoContinental Technologies (Bd) Private Limited Apr 2023 - PresentWorkflows
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Co-FounderDoxper Oct 2015 - Feb 2023Mumbai, Maharashtra, InHealthcare Informatics -
Adjunct FacultySchool Of Life Sciences, Manipal Jul 2012 - Aug 2016Bioinformatics
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Director - Biomedical InformaticsSap Labs Mar 2013 - Sep 2015Walldorf, Bw, DePrecision Medicine -
Adjunct FacultyTata Memorial Centre Sep 2013 - Aug 2015Oncology Informatics
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Senior ScientistPhilips Research 2006 - Feb 2013Amsterdam, Noord-Holland, NlPersonalized Medicine
Randeep Singh Skills
Randeep Singh Education Details
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Indian Institute Of Technology, BombayInformation Technology -
Indian Institute Of Technology, BombayMechanical Engineering (Major In Robotics)
Frequently Asked Questions about Randeep Singh
What company does Randeep Singh work for?
Randeep Singh works for Ikites
What is Randeep Singh's role at the current company?
Randeep Singh's current role is Leader - HealthTech, AI in Healthcare.
What is Randeep Singh's email address?
Randeep Singh's email address is ra****@****sap.com
What is Randeep Singh's direct phone number?
Randeep Singh's direct phone number is +4962277*****
What schools did Randeep Singh attend?
Randeep Singh attended Indian Institute Of Technology, Bombay, Indian Institute Of Technology, Bombay.
What skills is Randeep Singh known for?
Randeep Singh has skills like Xml, Artificial Intelligence, Robotics, Computer Vision, Algorithms, Medical Devices, Embedded Systems, Lifesciences, Machine Learning, Image Processing, Pattern Recognition, Data Mining.
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