Divyanshu Shrivastava

Operations Associate

Bengaluru, Karnataka, India4 yrs 7 mos experience

Highly Stable

Key Highlights

Improved data accuracy by 15% through quality assessments.
Automated data processes, reducing manual effort significantly.
Delivered targeted training, reducing governance violations by 20%.

Stackforce AI infers this person is a Data Governance and Quality Specialist in the Fintech industry.

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Skills

Core Skills

Data GovernanceData Quality

Other Skills

Analytical SkillsAnalyticsAndroidC++CollibraCollibra Data Governance CenterCommunicationData LineageData ManagementData ModelingData MonitoringData ProfilingData Quality AssuranceData Quality MonitoringData Quality Scorecard Monitoring

About

Results-oriented and detail-driven Data Analyst with a Master of Computer Applications (MCA) from the National Institute of Technology Warangal with knowledge of data quality, data management, and end-to-end Data Governance life cycle with strong analytical skills in Python and SQL. Performed validation of DQ Rules based on the Profiling reports and observation reports and minimized the risk of the DQ Rules to have resulted in RED metric. Developing ELRs based on the business requirement and Data Profiling for the consent order. Implemented several Python Automated codes to remove the manual process and Excel dependency. Worked on multiple stakeholder collaborations with both offshore and onshore partners.

Experience

Hsbc

2 roles

Manager - Business Consulting

Oct 2025 – Present · 5 mos

Senior Analyst - Business Consulting

May 2025 – Sep 2025 · 4 mos

Citi india

2 roles

Senior Data Analyst

Promoted

Jul 2022 – May 2025 · 2 yrs 10 mos · Chennai, Tamil Nadu, India · On-site

Led comprehensive data quality assessments and audits, identifying and resolving issues that improved data accuracy and integrity by 15%.
Successfully led and delivered the end-to-end Data Operating Model for content orders, consistently meeting tight deadlines while maintaining 100% accuracy.
Spearheaded end-to-end data quality monitoring, including profiling, rule development, testing, and production implementation for critical regulatory reports such as FR Y-9C, FR Y-2052A, and 14M/Q.
Collaborated in a cross-functional initiative to establish a centralized metadata repository, streamlining data access for key stakeholders across the organization.
Designed and implemented daily data quality monitoring processes from the ground up, enhancing accuracy and integrity by 15% in daily files.
Developed and executed Data Quality English Language Rules (ELRs) based on profiling and frequency insights.
Delivered targeted data governance training programs, reducing governance violations by 20% and promoting adherence to best practices.
Automated data quality rule generation for Conformity, Completeness, and Validity dimensions using Python, reducing manual rule creation effort by 0.8 FTE.
Automated the data operating model using Python, significantly reducing reliance on Excel and saving 0.9 FTE.

Data QualityData GovernanceData ProfilingPythonData Quality MonitoringData Quality Assurance

Data Analyst

Jul 2021 – Jul 2022 · 1 yr · Chennai, Tamil Nadu, India · On-site

Led data quality (DQ) initiatives for the Mortgage line of business (LOB), collaborating with stakeholders to remediate 90% of RED metrics and improve data accuracy.
Prepared and delivered key regulatory reports (FR Y-14M/Q, 2052A) for both Mortgage and Retail business segments, ensuring compliance with regulatory standards.
Successfully transitioned the data quality process from contractors, creating comprehensive process documentation and training internal teams for seamless continuity.
Managed the transition of business metadata rules from Compass to Collibra, overseeing user acceptance testing (UAT) and validating the effectiveness of new process flows.
Automated PEGA report testing for outliers in daily reports, achieving 99% accuracy and reducing manual effort by 0.5 FTE.

Data QualityData GovernanceData ProfilingPEGACollibra