Ragavi Sivakumar - Relationship manager at ENRICH BROKING - Chennai

Ragavi Sivakumar
Sales Marketing
Chennai, Tamil Nadu, India
Computer Knowledge Internet Computer Technician Aptitude
PEC-Panimalar Engineering College

About Ragavi Sivakumar

Ragavi Sivakumar works as Relationship manager at ENRICH BROKING and is based in Chennai, India. Ragavi studied Bachelor of Engineering or Technology (CE-Computer Engineering) at Panimalar Engineering College (2014-2017). On Youth4work, Ragavi has taken skill tests in Computer Knowledge (rank 678 of 165,164, top 1%), Internet (rank 4,201 of 21,133, top 20%) and Computer Technician (rank 1,665 of 19,404, top 9%). Ragavi also lists talents in English Language, Telemarketing, Communication Skills and Marketing Communication.

Talents

Computer Technician

... among ... users in Chennai

1665

among 19404 users worldwide

29.27

percentile among worldwide users
Marketing Communication

... among ... users in Chennai

…

among … users worldwide
HTML

... among ... users in Chennai

25873

among 136035 users worldwide

8.29

percentile among worldwide users
Communication Skills

... among ... users in Chennai

…

among … users worldwide

1.74

percentile among worldwide users

Complete Talent Profile »

Professional Path

Relationship manager

ENRICH BROKING Full Time

Feb-2019 To present 7 years 7 months

Service client and support to explain and clear issues
Best sales

» 1 Project

managing files in cloud computing

Student at PEC-Panimalar Engineering College

Jan-2017 to Apr-2017

The Cloud applications that offer data management services are emerging. The clouds support caching of data in order to provide quality query services. The users can query the cloud data, paying the price for the infrastructure they use. Cloud management necessitates an economy that manages the service of multiple users in an efficient, but also, resource economic way that allows for cloud profit. Naturally, the maximization of cloud profit given some guarantees for user satisfaction presumes an appropriate price-demand model that enables optimal pricing of query services.
The model should be plausible in that it reflects the correlation of cache structures involved in the queries. Optimal pricing is achieved based on a dynamic pricing scheme that adapts to time changes. The pricing solution employs a novel method that estimates the correlations of the cache services in a time-efficient manner.

Qualifications