We found the following information about Eklavya Mehta at College of Business and Economics, Csu East Bay, where this person has worked as a Masters Student since 2018. Eklavya's total work experience is over four years, during which time Eklavya Mehta had at least six jobs at different places to develop skills. Eklavya Mehta studied at the Symbiosis Institute of Business Management, Pune from 2014 to 2016. Eklavya Mehta is proficient in three languages: English, Hindi, and Malayalam. Eklavya can be found in Santa Clara, California – where this professional currently lives. You can contact with Eklavya by searching for phone number or email address or find further information by requesting access to Eklavya's details from SoftwareOfficial.
Name variants:
Eklavya Mehta
Last updated May 10, 2024
Contact Information
Last Update
Jul 9, 2022
Email
ek**@gmail.com, ek**@gmail.com, ek**@gmail.com
Location
Santa Clara, CA
Workplace

Masters Student
Hayward, CA
Industry
Higher Education
Colleagues
Work History
Masters Student
25800 Carlos Bee Blvd, Hayward, CA 94542
from Jan 2018
Management Projects
Structured program with intensive exposures to High impact B2C, B2B & Marketing projects.
Jun 2016 — Jan 2017
Summer Intern
Improve business through Trade Marketing:
Improve: Sales-Marketing Communication channel
automation
Complete: Reward redemption-dispatch-delivery circuit
Live 'Last-mile' tracking
Opti...
Apr 2015 — May 2015
Systems Engineer
Data Extraction, Transformation/Enhancement, Load (ETL): FSI-ADT (Financial Services & Insurance - Advanced Data Technologies)
Stakeholder Management: coordinating with 4 teams through sof...
Jun 2010 — Jan 2013
Education
2014 — 2016
2006 — 2010
1999 — 2005
Occupations
Sales Specialist
Area Sales Manager
Regional Sales Consultant
Sales Representative
Skills
Etl
Unix Shell Scripting
C++
C
Unix
Core Java
Db2
Sql
Data Warehousing
Embedded Systems
Oracle
Qtp
Test Automation
Microsoft Sql Server
Oracle Sql
Ca7
Spss
Sales Management
Shell Scripting
Marketing Management
Event Management
Data Collection
Data Analysis