Here are detailed information about my credentials and my current and past work experience.
Jan 2020-present
I ventured into the dimension of Data Science shortly after starting my national youth Service. I've used alot of online resources and hands on projects to be the Data scientist/Analyst/backend developer i am today. Some of the resources are: ZerotoMastery.ai, Hamoye Ai, W3schools, Youtube videos, Udemy Courses etc.
2021 - 2022
Built and deployed predictive models. Worked with infrastructure as a code software tools like Terraform. Worked closely with the business to identify issues and used data to propose solutions for effective decision making.
June 2020 - Dec 2020
Six months on a rigorous, fast paced and project based internship to improve on existing skills and learn more. Created data visualization graphics, translating complex data sets into comprehensive visual representations. Worked on several open-source projects. Applied statistical and algebraic techniques to interpret key points from gathered data. Used machine learning algorithms to analyze and solve complex business problems. view certificate
June 2019 - May 2020
Gathered, organized and modeled data to assist management in making key decisions. Tracked and analyzed reports to determine needed improvements. Generated reports of findings to help management with making key decisions.
September 2013-October 2018
Bachelor in Engineering (B.Eng) Petroleum Engineering.
August 2021
You can view the certificate here. I learnt about the integral basics of Python
September 2021
In this course, i developed a multivariate multiple regression model to study the effect of eight input variables on two output variables, which are the heating load and the cooling load, of residential buildings. click to view certificate
October 2021
In this course, i used the data to classify and predict the quality metrics (qascore) of the ecological footprint data for the different countries. This data includes total and per capita national biocapacity, the ecological footprint of consumption, the ecological footprint of production and total area in hectares. click to view certificate
October 2021
In this course, I explored the building blocks of neural networks, which are versatile, powerful, and scalable. I learnt how to use them to tackle complex problems like the use of convolutional neural networks for image recognition. click to view certificate
November 2021
In this course, I explored and built time series forecasting models for measurements of electric power consumption in one household with a one-minute sampling rate over a period of almost 4 years. click to view certificate