Ravi Shekhar

Ravi Shekhar

26 years

Seasoned Business Analytics professional with focused experience in Banking and Financial Services domain for a major US bank in delivering data driven solutions using SAS to clients for multiple geographies.

  • Banking & Financial Services
  • ...

... Functional Expertise

  • Consulting

... Education

  • B.Tech (Electrical and Electronics Engineering), National Institute of Technology Jamshedpur.

... Achievements

  • “Top Performer” for Workflow Automation at EXL.
  • Promoted twice within 2.5 years for outstanding performance at EXL

... Certifications

  • Statistics for Business Analytics and Data Science, Udemy.
  • Advance Analytics in R for Data Science, Udemy.
  • SQL MySQL for Data Analytics and Business Analytics, Udemy. 

...
Work Experience | 60 months

  • 60 Total Months
  • 60 EXL Service

... Career Highlights

Leadership

  • Spearheaded a pilot project with a team of 2 analysts and onboarded the client.
  • Achieved improvement in the project delivery by initiating cross team meetings, thus reducing gaps in coordination.

Client management

  • Conducted scenario testing for client to meet compliance and capital adequacy requirement within tight deadlines.
  • Responsible for preparing the functional and business requirement documents as per client request.
  • Helped client to gain model approval under a strict timeline by working as an individual contributor for model document submission. 

Operational efficiency

  • Achieved ~300+ man hours/quarter saving, ~80% storage efficiency of & ~70% reduction in delivery time, by reducing redundancies through automation.
  • Improved process execution turnaround time by ~30% by automating codes and introducing parallel processing. 

Process Improvement/Recommendation

  • Recommended and implemented loss extrapolation methods to help client project lifelong credit losses accurately.
  • Eliminated redundancy and saved time by creating one click automated annual reports, thus enabling team to focus more on generating insights.
  • Recommended performance definition update by performing statistical analysis leading to marginal cost saving.
  • Developed a dashboard to show quantitative change of key variables across models allowing comparability and self-explanatory trend for performance.
  • Conducted detailed analysis of the existing processes and introduced a version control mechanism to avoid duplication of efforts.