Krunal S.
About Krunal S.
Krunal S. serves as the Head of Data Platforms at HSBC, where he has worked since 2016. He has extensive experience in data analytics, having previously held positions at HSBC, Royal Bank of Scotland, and PricewaterhouseCoopers LLP.
Current Role as Head Of Data Platforms
Krunal S. serves as the Head of Data Platforms at HSBC, a position he has held since 2016. In this role, he oversees the development and management of data platforms, ensuring that data is effectively utilized across the organization. His leadership focuses on enhancing data accessibility and quality, which supports decision-making processes for senior management and stakeholders.
Previous Experience at HSBC
Krunal S. has held multiple roles at HSBC. He worked as the FCC Data Analytics Manager from 2014 to 2016, where he focused on financial crime compliance data analytics. Following this, he served as the EWRA Methodology & Project Lead from 2015 to 2018, leading projects that aimed to improve data methodologies and practices within the organization.
Experience at Royal Bank Of Scotland
Before his tenure at HSBC, Krunal S. worked as a Senior Data Analyst at the Royal Bank of Scotland from 2012 to 2014. In this role, he was responsible for analyzing data to support business objectives and improve operational efficiency.
Educational Background
Krunal S. completed his education at several institutions. He achieved his GCSE at Park High School from 1997 to 1999. He then attended Harrow College, where he earned an Advanced Vocational Certificate of Education in Information Technology from 1999 to 2002. He furthered his studies at London Metropolitan University, obtaining a BSc(Hons) in Computer Science from 2002 to 2005.
Professional Contributions and Achievements
Throughout his career, Krunal S. has made significant contributions to data management practices. He architected and implemented Tableau Server, facilitating the delivery of insights through dashboards. Additionally, he chaired working groups to standardize data products and simplify data flows, which led to reduced operational risk and improved data quality across functions.