- With object detection and tracking algorithms created a computer vision pipeline that creates a robust real-time moving vehicle and pedestrian detection, tracking, GPS location, and counting-Analyzed unstructured social media data using tested and standard data analytics techniques in order to present a cleaned and structured inference workflow.-Made a robust visualization dashboard that utilized the inference workflow to display the inference and insight in an easily digestible manner.- Researching machine learning projects that could be infused into the course curriculum of students of Morgan State University. Students will after taking the course, have some basic machine learning tools they could develop on.

- Analyzing Data and Reporting on the daily and weekly progress of the work. This shows whether or not we are meeting production targets and finding ways to increase productivity.- Reporting on the Weekly availability, utilization, and downtimes of Assets in the mine using visualization techniques such as PowerBI. These reports are used as the basis to perform root cause analysis of downtime causes to increase the utilization of the assets and increase the overall production of Gold.-Created a Database for the Electrical and Instrumentation Section, using flask - sqlalchemy, where details of every motor, including Nameplate information, Function, Location, and various information about the status of the motors are stored.-With this system, the time used to find spare motors with similar specifications in times of faults was substantially reduced which reduced downtimes and increased production.-Created an informative Dashboard using robust data visualization techniques that gave insights downtime areas and trends within the system which resulted to reduction in downtimes.

- Scrum Master of the Maxim Nyansa Data Science Scrum Team working on the project, ‘Analyzing the Impact on Maxim Nyansa Learning Transformation on Ghanaian Schools”.-Made sure all the scrum rules were followed and dealt with every impediment within the team to improve efficiency of the team.-Amassed dispersed and scattered data using standard data accumulation pipelines to get an organized database structure.-Made a standard operational dashboard that utilized the data from the organized database to track and monitor the work processes.