4DV Analytics
Keasha Young has a diverse work experience in different companies and roles. Keasha started their career as a Software QA Engineer at AOL in 2003 and worked there until 2010. Following that, they joined Loudoun County Public Schools as a Data Analyst from August 2010 to December 2011. Keasha then joined CGI Federal in January 2012 as a Senior Consultant and worked until 2016. Currently, they are a Test Engineer IV at 4DV Analytics starting from August 2018.
Keasha Young's education history includes a Bachelor of Science (B.S.) degree from Florida Agricultural and Mechanical University. The specific field of study for this degree is not provided in the information. In 2016, they obtained a Certificate in Automation Testing from George Mason University. In the same year, they also obtained additional certifications, including "Mastering Selenium Testing Tools" from LinkedIn and "SQL for Data Reporting and Analysis" also from LinkedIn.
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4DV Analytics
4DV ANALYTICS is redefining trend prediction, adaptation, and more. We provide customizable solutions for: ● Integrated Big Data. ● Geo-Spacial Solutions. ● Machine Learning applications for Global Synoptic Data. ● Location Analytics ● Event Detection, Anomaly Detection, Pattern Recognition, Prediction, Patterns of Life, Classification, Identification. We provide custom machine learning services to companies looking to develop proprietary ML solutions on their internal data ● We offer Fixed Price solutions to develop minimum viable models ● We offer customization of our products to fit the customers needs Based in Ashburn, Virginia, 4DV Analytics (formerly Business & Engineering Systems Corporation) is an innovative company that develops geospatially-aware text and data mining solutions for business intelligence applications. We provide solutions that give near real-time decision support by correlating data from satellite sensors, text (with/without metadata), geospatial sources, and derived quantitative measurements. We use advanced signal processing techniques to measure changes in the data and emerging events to predict probable trends in areas such as econometrics, import-export activity, and consumer activity. Our algorithms learn and adapt with the underlying mechanics and fundamentals of the data, making it possible for our algorithms and predictors to evolve as structural changes occur. This minimizes issues with structural breaks that occur in commonly used techniques. We support clients in a variety of markets, including business consulting, investment analysis, mergers and acquisitions, technology assessments, business intelligence, defense, and law enforcement. We provide design solutions and advisory services for earth observation systems, real-time decision support systems, social media analytics, competitive intelligence, market decision support, and mission critical applications.