Dallas Nash
Learner -
(2)
4
Craig Snell
CEO
January 15, 2024
Individual endorsement
Sql database
Python
Data visualization
Data analysis
React
Analytics
Api
I am elated to endorse Dallas with her skills in data visualizations, data analysis, SQL database, Python, and React front end. Her commitment to deliver high quality software with her background in healthcare gave us the most comprehensive analysis we've ever seen. She showcased a remarkable ability to architect robust solutions that exceeded expectations in terms of functionality and performance. I am confident that her technical expertise and dedication will make her an invaluable asset to any team or organization seeking a skilled developer for analytics software!
Team feedback
We gained an exceptional amount of insight from Dallas with her background in healthcare, data visualizations, Python, SQL database, and react front end! Perfect fit for the team. Dallas was able to pick up where the the previous team left off and over come some challenging discoveries of bugs and deficiencies in the code. We successfully re engineered the data analytics for more comprehensive data analysis! Creating a work summery and transition package will allow us to continue with development more seamlessly. Our team is grateful to have had the opportunity to collaborate with Dallas!
Market analysis
Algorithms
Machine learning
Marketing
Artificial intelligence
Predictive analytics
Research
ICT Ignite Skills - Digital Tech Projects
ICT Ignite
RAIN - Artificial Intelligence & Machine Learning Application
Radiology Artificial Intelligence Network
Justin Wood
CEO
May 17, 2023
Team feedback
Both Dallas and Fasna did phenomenal work and delivered incredibly detailed and comprehensive work for us. They are both incredibly knowledgeable and applied it to the project at hand. We are incredibly happy with the work that they provided.
Disease surveillance
Microsoft office
Microsoft powerpoint
Data analysis
Microsoft excel
Geographic information systems
Level UP: Multidisciplinary Projects (2022 - March 2023)
Riipen Level UP 🚀
Data analysis and presentation for tick and tick-borne disease surveillance
Geneticks