🔓 Unlock the full profile of Pankaj Kulshreshtha (Scienaptic Ai), including verified contact details, financial insights, and professional associations.

See Pankaj Kulshreshtha Full Profile

Below are the ✅ Verified Contact Details to help you connect directly:

Email: pan*****@sci******.com

Mobile: 65119*****

Estimated Net Worth 💰 : ₹0 – ₹500+ Cr (approx. $0 – $60M)

Key Insights You Should Know About This Individual

  • Pankaj Kulshreshtha is the Founder and CEO of Scienaptic AI, a company established in May 2014, located in New York, United States.
  • Under Pankaj's leadership, Scienaptic AI focuses on advancing artificial intelligence solutions for credit underwriting and risk assessment, contributing significantly to the fintech industry.
  • Pankaj's previous roles include serving as Senior Vice President and Business Leader for Analytics & Research at GENPACT Ltd from March 2008 to April 2014, where significant contributions were made in analytics-driven business solutions.
  • Prior to GENPACT, Pankaj held the position of Chief Risk Officer at GE Money Loans from November 2006 until January 2008, where responsibilities included overseeing risk management strategies.
  • Pankaj also served as Head of Risk at GE Money from April 2005 to October 2006, enhancing organizational risk management frameworks.
  • Early career experiences include the role of Vice President at GECIS - Analytics from July 1998 to March 2005, where insights into analytics and strategic thinking were gained.
  • Scienaptic AI has shown impressive growth, with a twelve-month headcount growth rate of approximately 12.8% and a two-year growth rate of 28.5%, indicating the company's success and expansion in the competitive technology market.
  • Pankaj has leveraged an extensive background in analytics and risk management to build a company that utilizes machine learning to enhance decision-making processes in lending.
  • The commitment to innovation and improved customer experiences at Scienaptic AI has led to recognition within the industry for transforming traditional credit models into more efficient, data-driven systems.