I am a MEng Student in Mechatronics and Industrial Instrumentation at the Botswana International University of Science and Technology. I am a Computer Scientist from the Central Univeristy of Las Villas (2014) passionate at Data Science and Predictive Analytics. I hold a PGDE Diploma in Mathematics from the University of Botswana (July 2018). An Entreprenuarship Development Training from LEA (2016). I also attended CHPC Workshop and Winter School at the University of Johanersburg (2014). I have a PhDThesis published and available on Google Schoolar since 2014. And a Spanish Diploma from the University of Granma.
What are your domain(s) of expertise?
Art, Predictive Analytics, Data Mining, Machine Learning, Computer Programming, Computer Science, Applied Mathematics, HPC.
What is your relationship with agricultural information management standards, tools and services?
he data-driven approach curiosity. I do collect data using scripts, including the Practical Extraction and Retrieval language. This is like glue to my finger tips for structured machine learning. With the data under my control I do apply Java to perform data mining tasks using the Weka API to swift along the data to extract interesting insights. I can also deploy other languages like Python and MatLab depending on the circumstances. For instance, I learnt to program in GrADS in one day to visualise weather products for forecasters at the Numerical Weather Prediction unit in the Botswana Department of Meteorological Services. I also merged PERL and C and automated the intricate process of recieving global weather products, as well as the injection of those initial boundary values to envoke regional models. One of my roles at BUIST is to supervise undergraduate students under SMArT (Simulation, Machine Learning and Technopreneurship) Lab, under the overall supervision of Dr. Jamisola Rodrigo. One of our projects involved harvesting brain signals using an electroencephalography headset. We applied data transformations, then modeled the classical classification of action states using machine learning. The models were then integrated to a brain-computer-interface module to control a computer 3-D game. In addition to that, I have been working on the consolidation of weather and climate data into a unified repository since 2014. Currently I am running some experiments to extract patterns and information more information from the data. This work forms part of my MEng Thesis for Mechatronics and Industrial Instrumentation at BIUST with focus on Machine Learning ad Predictive Analytics. I do believe in learning new stuff as much as I can and I am eager to learn from this new platform.