Keotshepile Mosito

Keotshepile Mosito is a professional with a strong background in Statistics, Information Technology, and Economics, focusing on various aspects such as Conducting Research, Data Collection, Data Capture, Report Writing, Predictive Modelling, Business Intelligence, Machine Learning, and Data Analysis.

His expertise includes developing predictive models using multiple statistical techniques, implementing machine learning models, researching analytical methodologies and best practices, and generating standard or custom reports summarizing business, financial, or economic data for stakeholders.

Keotshepile excels in designing reports and dashboards using tools such as SSRS, Power BI, ThoughtSpot, and Datazen. He also builds machine learning models and conducts statistical/data analysis using technologies like SAS, SAS Enterprise Miner, R, Python, Azure Machine Learning, and SSAS to create accurate predictive and descriptive models for various purposes like fraud detection, risk minimization, revenue generation, and forecasting.

His educational background includes studies in High School Business/Commerce, AI Programming with Python, Bcom Honours Statistics, and Bcom Statistics and Economics.

Keotshepile Mosito has previously held positions as a Senior Data Scientist at Investec, Senior Data Scientist at King Price Insurance, Specialist: BI Data Mining and Analytics at SARS, and an Internship Business Analyst at SITA.