Who am I? I’m a Data Scientist, currently focused on utilising predictive analytics to drive business profitability and decision-making in the finance sector. I possess a strong passion for research and interested in leveraging big data and high-performance computing to develop data-driven solutions. My experience lies in applying Data Science techniques to optimise systems, processes, products, and ultimately improving operational efficiency. With a proven track record in both scientific and financial domains, I bring creativity and extensive knowledge to my role as a data scientist.
Thank you for visiting my little corner of the internet located somewhere in the cloud. This is my professional website where I write about things some consider serious. But don't take me too seriously as I speak meme. You are welcome here... You can check my resume below. I hope to write some interesting blogs soon!
To get hold of me use any of the following ways below!
Working on predictive analytics and decision sciences in the credit space. My current work involves mining big transactional and credit data to find patterns that can be leveraged and used to build and train machine learning models in order to optimise processes and develop new products.
Taking advantage of a vast observational network and model data to develop cutting-edge data-driven systems and products for operational purposes.
My work was with the Model Development group, focusing on numerical weather prediction and climate modelling. I also did research on weather and climate dynamics.
Learned a lot of programming and understanding some code development processes. Worked on several codes, and going behind models to see how they are developed, coded, run. Learned some analysis techniques and applied some of those in my research work. Did a lot of scientific and technical reading and writing.
Passed with distinction
Research project: Evaluating the ability of atmospheric models in simulating boundary layers in the Southern Hemisphere.
I had the privilege of doing my research project with the now late Professor George Djolov, an internationally recognised research scientist in the field of Physics. He supervised my research where I performed a statistical analysis of numerical model output. I managed to obtain a cum laude pass for this project and had it peer-reviewed for a conference’s publication and oral presentation.
Modules in: Meteorology, Physics, Applied Mathematics, Geometrical and Space Geodesy, Advanced Remote Sensing Techniques, Geographic Data Analysis, and Programming.
Grade 12: Distinctions in Mathematics, Physical Sciences, and Life Orientation.
/1/ University of Cape Town (UCT) - Discretisation methods and numerical data analysis - 2020
/2/ South African Weather Service - Machine Learning and data analytics - 2019
/3/ South African Weather Service - Android mobile applications development - 2018
Co-founder and Director
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This involves the use of methods and techniques from the field of science, in conducting research which seeks to find answers to specific questions.
The use of some of the world's most complex mathematical numerical models typically run on super computers to predict the future state of the atmosphere.
The development of mathematical methods for application to the problems found in physics.
The use of programming language(s) to write, test, debug and maintain softwares and applications, whether scientific, commercial or otherwise.
Using advanced mathematical and statistical methods to inspect, clean, manipulate, and model data with the aim of discovering helpful information in order to inform and support conclusions and decision-making.
Using various programming languages to design and develop both the frontend and backend workings of websites and web applications.
I'd love to hear from you. Let's get in touch using any of the available platforms by clicking the button below.