Tshepiso Mogoswane

Solution Architect (AI And Data) @ Investec

About Tshepiso Mogoswane

Tshepiso Mogoswane is a Solution Architect specializing in AI and Data at Investec in London, England. He leverages Azure ML, ML Server, and Azure Databricks to improve data-driven decision-making and has played a key role in implementing a Cloud Data Platform that integrates advanced analytics and AI technologies.

Work at Investec

Tshepiso Mogoswane serves as a Solution Architect specializing in AI and Data at Investec. He has been with the company since 2020, contributing to the advancement of data-driven decision-making processes. His role involves utilizing Azure ML, ML Server, and Azure Databricks to enhance the technical capabilities of the organization. He focuses on ensuring the long-term technical viability of new deployments, which is essential for maintaining the integrity and performance of Investec's technological infrastructure.

Education and Expertise

Tshepiso Mogoswane has a solid educational background in technology and computer science. He studied at Tshwane University of Technology from 2004 to 2005, where he earned an International Certificate in Computer Studies. He furthered his education at College Campus from 2005 to 2007, focusing on database development, software development, and web development. His studies included SQL Server, Visual Studio, ASP, and ASP.Net, culminating in an IT Programming qualification.

Background

Tshepiso Mogoswane has a background in computer science and software development, which has equipped him with the skills necessary for his current role. His educational journey included significant training in various programming languages and development environments. This foundation has been instrumental in his ability to implement advanced analytics and AI technologies at Investec.

Achievements

At Investec, Tshepiso Mogoswane has contributed to the implementation of a Cloud Data Platform. This initiative integrates advanced analytics and AI technologies, enhancing the organization's data capabilities. His work supports the strategic goals of Investec by improving data-driven decision-making processes and ensuring the effective deployment of new technologies.

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