Rahul JAMSANDEKAR
@rahuljamsandekar
I improve banking credit decisions through reliable data governance, ETL automation, and data quality controls.
What I'm looking for
At HSBC, I improve the reliability of enterprise data used for credit risk, lending decisions, reporting, and analytics across personal loans, cards, credit limit management, and home loans.
As a Data SME in Data Control and Governance, I assess data quality controls and investigate discrepancies across trusted data sources. I work with source teams, data owners, technology teams, and end users to ensure data is accurate, complete, consistent, valid, and fit for purpose.
Previously, I led three analysts in redesigning credit-bureau ETL pipelines, reducing lending-decision turnaround time by 40%. I also implemented parallel processing for multi-applicant and multi-bureau transactions, reducing turnaround time by a further 35%.
I build practical automation with Python and SQL, including an in-house bureau connectivity solution that reduced manual effort and optimized global data flows. My work combines data governance, credit decisioning, Agile delivery, and data-driven problem solving.
Experience
Work history, roles, and key accomplishments
Act as a Data SME within Data Control and Governance, ensuring accuracy, completeness, consistency, and validity of data across HSBC's enterprise data lake. Perform analysis on data quality controls and root-cause analysis on data from multiple trusted sources, collaborating with upstream teams and data owners to resolve issues and ensure data is fit for purpose.
Education
Degrees, certifications, and relevant coursework
Christ University
Master of Science, Data Science
2021 - 2023
Pursued a Master of Science in Data Science, gaining advanced skills in data analytics, machine learning, and statistical modeling.
Christ University
Bachelor of Science, Computer Science, Mathematics, Statistics
2018 - 2021
Completed a Bachelor of Science with a focus on Computer Science, Mathematics, and Statistics, building a strong foundation in data analysis and programming.
Availability
Location
Authorized to work in
Salary expectations
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