I hail from Odumase-Krobo in the Eastern Region of Ghana. I come from a nuclear family of five including myself with three other siblings. In the year 2013, I completed junior high school and made it into Pope John Senior High School. As a General Arts student in high school, I had a great desire to explore about historic events leading to civilization and the emergence of our technological world today.
Winning an award as the Best History Student during a Speech and Prize Giving Day at Pope John Senior High School in January 2016, amazed me because being chosen as the best from a pool of students was by the grace of the Almighty God.

This course provided insight into the relationship between Data Science and Machine Learning, with a focus on the end-to-end Machine Learning process. Key stages included: asking the right questions, acquiring and preparing the right data, selecting an appropriate ML algorithm, evaluating model performance, and presenting both the outcomes and the model used.

With the rise of cloud computing in recent years, this course provided a foundational understanding of Amazon Web Services (AWS) and its core offerings. It introduced the wide range of services available within AWS

This course introduced the theoretical roadmap of the software engineering lifecycle, starting from software architecture design to the transformation of that design into a finished product. It emphasized how structured planning and design play a critical role in successful software development.

This certified course introduced various UML diagrams such as Use Case Diagrams, Activity Diagrams, Sequence Diagrams, and more. It demonstrated how these diagrams are used to model and visualize the roadmap of software use case architectures.


This course introduced the core functionalities of the Pandas library, focusing on techniques for importing, cleaning, transforming, and analyzing datasets as part of a typical data analysis pipeline.

This course provided a breakdown of the Seaborn library in Python and its applications in data analysis within the context of Data Science. It focused on creating data visualizations such as histograms, bar charts, and other statistical plots to support exploratory data analysis (EDA).

Similar to Seaborn, this course introduced the fundamentals of using Tableau as a standalone software tool for data visualization in the context of data analysis. It covered the creation of interactive dashboards and visual representations to support data-driven insights.

This was an introductory course that provided a foundational understanding of Data Science and Machine Learning. It explained the relationship between the two fields and demonstrated how raw data can be collected, prepared, and analyzed into a clean format suitable for input into machine learning algorithms for predictive analysis.
Earned badges for completing the ProcessMaker Designer and Developer courses.








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