Click on the picture above for a pediatric vaccination website I created with WordPress.
*All visuals are set to filter the data presented so please click around.
Click on the picture above for a University African Diaspora (AD) Diversity-Equity-Inclusion report I created featuring AI Text Analytics and AI Narrative Summary using Microsoft Power BI.
*All visuals are set to filter the data presented so please click around.
Click on the link above for a COVID-19 Dashboard I created using Tableau.
*This image does not contain a link to a live dataset.
I created the dashboard above to show a statistical model that explores the relationship between a mother's age and the birthweight of a child. I used Qlik Sense to make this dashboard.
*This image does not contain a link to a live dataset.
The image above is of a High-Risk Youth Behavior Surveillance Dashboard I made using Qlik Sense.
*Map Marker in the bottom right is set to drill-down so please click around. (*Log in with Azure Account)
Click on the link above for a consumer sales Dashboard I created using SQL and Microsoft Azure | Databricks.
Click on the link in the image to view the code
_____________________________
The use of mobile technologies and body-worn devices for the classification of at-risk Soldiers with musculoskeletal injuries (MSI) can be performed in a matter of minutes with real-time analysis. Predicting which SMs are at risk for injury prior to an adverse event can have a major impact on their health, career, and the cost of care for the military. More than 800,000 military service members are injured each year, leading to an estimated 25 million days of limited duty annually. Musculoskeletal injuries (MSI) are the greatest threat to force readiness during both peacetime and combat operations. Non-combat MSI (during physical training, tactical training, recreational activity, and sport) are endemic within the military population accounting for 85% of all MSI among United States (U.S.) military personnel. Athletic injuries are also the leading cause of disability discharge among service members (SM) in the U.S. Army, according to Physical Evaluation Board data. Thus, prevention and care of these sports and physical training injuries are top priorities for leaders in the Department of Defense (DoD).
From October 2014 through February 2018, the organization that I worked for received nearly 4,000 people a month from Basic Combat Training. Of the 4,000 people a large percentage could not transition on time due to sudden injuries. My role was as the project lead and lead trainer. My deliverables included meeting with stakeholders and understanding their concerns and desires. I also needed to analyze the trainees that were arriving in that organization along with existing practices to better understand the injury issue. The team found that a percentage of personnel would mask pre-existing injuries in an attempt to get through their training cycle. We leveraged the functional movement screen (FMS) with an initial team of six trainers from the existing leadership population. The FMS allowed the organization to identify pre-existing injuries and get people treated during their training timeline. The project allowed us to restructure the current timeline for nearly 600 personnel a week without impacting their training schedule. The project was a success. Over the next two years, the organization screened nearly 60,000 people across the campus and reduced the backlog of people due to injuries.
If you would like more information about me you can reach me at LinkedIn or by e-mall at the link below.