Sep 2024 - Current
Feb 2022 - Aug 2024
Feb 2022 - Dec 2022
May 2023 - Nov 2023
Master's degree at University of Mumbai
Name: LexisNexis Risk Solutions
Speciality: B2B data and content, Fraud Detection, Identity Verification and Authentication Solutions, Insurance Risk Management, Compliance Management, Customer Acquisition, Risk Management, Clinical Analytics, Evidence-Based Policing, Receivables Management, Anti-Financial Crime, Credit Risk, HR Data, Aerospace Data, Chemical Data Intelligence, Real Estate Intelligence, Data Management Services
Location: Alpharetta, GA, United States
Employees: 10000+
Description: LexisNexis Risk Solutions provides customers with solutions and decision tools that combine public and industry-specific content with advanced technology and analytics to assist th...
What is Prashant Dube's minimum period of employment in the companies?
Prashant Dube's minimum period of employment in various companies is 6 months.What is Prashant Dube's average duration of employment for different companies?
On average, Prashant Dube works for one company for 1 year 3 monthsWhat industries has Prashant Dube worked in?
Prashant Dube works in the Information Technology and Services.What positions has Prashant Dube held before?
Previously, Prashant Dube worked as a Systems associate, and operation executive, and Power bi.How do I contact Prashant Dube?
Prashant Dube's email address is p***********e@lexisnexis.com, phone number is +91-***-***-8264. Sign up to get contact details.Who are Prashant Dube's peers at other companies?
Prashant Dube's peers at other companies are Esraa Yaseen and Dnyaneshwari Ekhe and Nicole ZobelSignalHire 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.