Keotshepile Jakes Mosito

Keotshepile Jakes Mosito

Senior Data Scientist @ Investec

About Keotshepile Jakes Mosito

Keotshepile Jakes Mosito is a Senior Data Scientist with extensive experience in data analysis and predictive modeling. He has worked at Investec since 2018 and previously held positions at King Price Insurance and SARS, focusing on fraud detection and risk management.

Work at Investec

Keotshepile Jakes Mosito has been employed at Investec as a Senior Data Scientist since 2018. In this role, he focuses on developing predictive models and implementing machine learning techniques to enhance business processes. His work involves creating models that detect fraud, minimize risk, and forecast customer behavior. Mosito's contributions at Investec are integral to the company's data-driven decision-making strategies.

Previous Experience at King Price Insurance

Prior to his current role, Mosito worked at King Price Insurance as a Senior Data Scientist from 2016 to 2018 in Pretoria. During his tenure, he utilized statistical techniques to create models that supported the company's operational goals. His experience at King Price Insurance contributed to his expertise in data analysis and predictive modeling.

Background at SARS

Mosito served as a Specialist in BI Data Mining and Analytics at the South African Revenue Service (SARS) from 2010 to 2016. His responsibilities included analyzing data to support revenue collection and compliance efforts. This six-year position provided him with a strong foundation in data analytics within a governmental context.

Education and Expertise

Mosito holds a Bcom in Statistics and Economics and a Bcom Honours in Statistics from North-West University. He also completed a certificate in AI Programming with Python from Udacity in 2020. His academic background equips him with a solid understanding of statistical methods and data analysis techniques, which he applies in his professional roles.

Technical Skills and Methodologies

In his work, Mosito employs various statistical techniques and programming languages, including SAS, R, and Python. He develops models for machine learning implementation and designs reports and dashboards using tools such as Power BI and SSRS. His expertise in these areas supports effective data visualization and analysis, contributing to informed decision-making.

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