Sunil Joshi
About Sunil Joshi
Sunil Joshi is a Lead Data Specialist at Quantexa in London, England, with expertise in Scala, Python, and Big Data platforms. He has a strong background in analytics and technology integration, having previously worked at Experian and Cambridge Econometrics.
Work at Quantexa
Sunil Joshi has been serving as the Lead Data Specialist at Quantexa since 2021. In this role, he has led the transition to and optimization of Scala, Python, and Big Data platforms, specifically Spark and Hadoop. His efforts ensured limited business disruption and garnered full stakeholder buy-in. His work focuses on enhancing data analytics capabilities within the organization.
Previous Experience at Experian
Before joining Quantexa, Sunil Joshi worked at Experian as an Analytics Technical Architect from 2010 to 2020. During his tenure, he coordinated and facilitated onshore and offshore training on new technologies. He built a reputation as a 'Product Expert' by addressing and resolving technical inquiries, contributing to the overall technical proficiency of the team.
Role at Cambridge Econometrics
Sunil Joshi was employed at Cambridge Econometrics as a Senior Economist from 2007 to 2010. In this position, he ensured the effective integration of the vendor's content management system with in-house authentication systems. He modified and extended the C# CMS to meet the requirements of both external and internal users, demonstrating his technical and analytical skills.
Education and Expertise
Sunil Joshi holds a Master's degree in Economics from University College London, where he studied from 2005 to 2006. He also earned a Bachelor's degree in Economics from the University of Cambridge, completing his studies from 2002 to 2005. His educational background provides a strong foundation for his expertise in data analytics and technology.
Technical Contributions
In his professional career, Sunil Joshi developed an Analytical Toolbox in Scala for modeling data flows. This toolbox allows users to access data through web interfaces, R, or Python, showcasing his ability to create practical solutions for data analysis and user accessibility.