Mar 2015 - Current
Nov 2013 - Mar 2015
Nov 2011 - Nov 2013
May 2008 - Nov 2011
Feb 2000 - May 2008
Name: Kloud9 LLC
Speciality: Deep Learning, Data infrastructure, Data Science, Machine Learning, Business Transformation, Artificial Intelligence, Machine Learning, Data Engineering, Inventory Management, Digital Transformation, Inventory, Personalization Manager, Datahub, Data Platform, Cloud Engineering, Quality Engineering, Microservices, Stockout Sentinel, Data Lakehouse, Data Warehouse, Business analytics, Visualization
Location: New York City, New York, United States
Employees: 200-500
Description: Kloud9 LLC was founded with the vision of enabling our customers to transform into an intelligent enterprise with our “AI-First” approach. We help our customers in their data t...
What is Deepak's minimum period of employment in the companies?
Deepak's minimum period of employment in various companies is 1 year 4 months.What is Deepak's average duration of employment for different companies?
On average, Deepak works for one company for 3 years 9 monthsWhat industries has Deepak worked in?
Deepak works in the Information Technology and Services. Previously, Deepak worked in the Apparel & Fashion, and Management Consulting.What positions has Deepak held before?
Previously, Deepak worked as a Senior Product Manager, and Sr. Product Delivery Manager, and Global Competency Manager.How do I contact Deepak?
Deepak's email address is **@kloud9.nyc, phone number is +1-***-***-4354. Sign up to get contact details.Who are Deepak's peers at other companies?
Deepak's peers at other companies are Maryane Hanneke and Gagan Gill and Adriana CarmonaSignalHire complies with the General Data Protection Regulation (GDPR). SignalHire follows GDPR requirements, including but not limited to rights of data subjects to access, correct, or delete their personal information and supports the right to be forgotten.
SignalHire is CCPA-compliant and provides California residents the right to know, access, opt out, and request deletion of their personal data.