Regina analytics (Pty) Ltd, was started as a startup by Michael Mutekeri who had worked in the analysis field for decades. In the field of statistics, financial modelling, data analysis, database development and business intelligence development. After working as a business intelligence (certified by Microsoft) building a reporting model. He enrolling with Stanford University, California Machine learning course by Associate Professor Andrew Ng Computer Science Department, then further specialized in Tensorflow in practice through DeepLearning.AI by Laurence Moroney an AI Advocate at Google Research also under Prof. Andrew Ng. Teaming up with Prof. Ramachela, Head of Department: Crop Science North West University Mafikeng Campus, South Africa. They have worked on projects from earth innovation to cooperate development.

Data science is a multi-disciplinary field that uses scientific methods, processes, algorithms and system to extract knowledge and insights from structured and unstructured data. This comprises of artificial intelligence, Machine learning, Deep learning which is the focus of the venture.

The theory and development of computer systems able to perform tasks normally requiring human intelligence, such as visual perception, speech recognition, decision-making, and translation between languages [Oxford]. Artificial intelligence (AI) is the simulation of human intelligence processes by machines, especially computer systems. These processes include learning (the acquisition of information and rules for using the information), reasoning (using rules to reach approximate or definite conclusions) and self-correction.

Grew out of work in AI with new capabilities for a computer. Arthur Samuel (1959). Machine Learning: Field of study that gives computers the ability to learn without being explicitly programmed. Tom Mitchell (1998) Well-posed Learning Problem: A computer program is said to learn from experience E with respect to some task T and some performance measure P, if its performance on T, as measured by P, improves with experience E.

Deep learning architectures such as deep neural networksdeep belief networksrecurrent neural networks and convolutional neural networks have been applied to fields including computer visionspeech recognitionnatural language processing, audio recognition, social network filtering, machine translationbioinformaticsdrug design, medical image analysis, material inspection and board game programs, where they have produced results comparable to and in some cases superior to human experts [wiki]

Data Science

Our aim is to provide data science solution to any business from data collection, processing and applying into algorithms for AI.


We take time to discover our customer's need to maximize customer satisfication

Identifying Customer needs

In our venture a customer is always a king/queen and treated with royalty.

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We build modules for simplifying data science to the general public, also document our models and train on how to use these models

Introduce data science to the world

The fourth revolution is here, and people need to know, what it is about.

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We provide online services for all our models, simplifying accessibility of our products

Providing online solutions

We provide solutions that can be accessed anywhere over the internet.

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Problem identification, Get data, Explore data, Model data, Communicate data into reports/ provide AI models

Available Uptime
Available Uptime
Available Uptime


Our team are expects in their different areas.

Michael Mutekeri
Michael Mutekeri Data Scientist
Bsc: Mathematical and statistical Science: Financial Modelling (UNISA), Bcom Honors:Financial Modelling (UNISA), Post graduation Program in mathematics teaching (FET Band) (UNISA), MCSA:SQL Server 2012, MCSE:Business Intelligence, MCSE:Data Management and Analytics, MC:Azure Fundamentals (Microsoft), CCSA (Chartered Secretaries Southern Africa), Registered Assessor and Moderator, Machine Learning (Stanford University), DeepLearning.AI TensorFlow Developer Specialization (deeplearning.ai), Getting started with AWS Machine Learning (AWS), SAS Programmer (SAS), TensorFlow: Data and Deployment (deeplearning.ai), Developing AI Applications on Azure (LearnQuest), Member of IITPSA (Institute of Information Technology Professionals South Africa)
Moshawa Modise
Moshawa ModiseNon Executive Director (Head of HR and Operations)
Business Management Program (RAU, now University of Johannesburg UJ), Human Resources Management Program, Advanced Human Resources Management Program (UNISA), Advanced Certificate in Labor Relations and Labor Law (North West University NWU), B-Tech HRM (Central University of Technology), Registered Assessor and Moderator, Member of IPM. In the above qualifications, he specialized in Organizational Development, Management and Leadership Development, HR and International HR and Enterprise Development and Research.