Ram Rajagopal Email & Phone Number
@gridcare.ai
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Who is Ram Rajagopal? Overview
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Ram Rajagopal is listed as Co-Founder at GridCARE, a with 18 employees, based in San Francisco Bay Area, United States. AeroLeads shows a work email signal at gridcare.ai and a matched LinkedIn profile for Ram Rajagopal.
Email format at GridCARE
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AeroLeads found 1 current-domain work email signal for Ram Rajagopal. Compare company email patterns before reaching out.
About Ram Rajagopal
Ram Rajagopal is a Co-Founder at GridCARE. He possess expertise in algorithms, data mining, matlab, software engineering, simulations and 15 more skills. He is proficient in Japanese and Spanish. Colleagues describe him as "In addition to his undoubted technical expertise, Ram is a pleasure to work with. He is always thoughtful and engaged, and very committed to his work. I always found him willing to go the extra mile and push a little harder to deliver outstanding results. I would be lucky to work with him again."
Listed skills include Algorithms, Data Mining, Matlab, Software Engineering, and 16 others.
Ram Rajagopal's current company
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Ram Rajagopal work experience
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Co-Founder
Frequently asked questions about Ram Rajagopal
Quick answers generated from the profile data available on this page.
What company does Ram Rajagopal work for?
Ram Rajagopal works for GridCARE.
What is Ram Rajagopal's role at GridCARE?
Ram Rajagopal is listed as Co-Founder at GridCARE.
What is Ram Rajagopal's email address?
AeroLeads has found 1 work email signal at @gridcare.ai for Ram Rajagopal at GridCARE.
Where is Ram Rajagopal based?
Ram Rajagopal is based in San Francisco Bay Area, United States while working with GridCARE.
What companies has Ram Rajagopal worked for?
Ram Rajagopal has worked for Gridcare.
How can I contact Ram Rajagopal?
You can use AeroLeads to view verified contact signals for Ram Rajagopal at GridCARE, including work email, phone, and LinkedIn data when available.
What skills is Ram Rajagopal known for?
Ram Rajagopal is listed with skills including Algorithms, Data Mining, Matlab, Software Engineering, Simulations, Signal Processing, Machine Learning, and Statistics.
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