Energy savings and indoor comfort through data analytics.
Interpretable/Explainable Machine Learning (ML)
ML with Python.
development of machine learning models that aids the computer to learn the object of
study with some degree of practicalism.
These computer programs changes as the data changes, and its results has been
tested and proved by many statisticians both in the laboratory and in the real world experiments.
Major advances in computing includes removing drudgery in the way statistical analysis is done and
allowing for instance, more large scale graphical analysis.
Hence the main reasons for using machine learning methods to find solutions to
our indoor comfort problems and energy inefficency..
Expertise & Capabilities
- Html, SQL, PHP
- Machine learning
- Data Analytics with sensor data
Academic / Professional qualifications
- B.Tech in Computer Science
- Msc in Information and Network Security
- Aridhia Informatics Ltd
- Hariot-Watt University
- University of Strathclyde
Master in Science, Robert Gordon University
Award Date: 30 Sep 2014
Bachelor of Technology (not to be confused with BTEC), federal university of Technology Owerri
Award Date: 30 Sep 2004