Data Science
Turning data into knowledge is a challenge. Our engineers extract knowledge from historical and real-time data using tools and techniques that leverage our understanding of each customers’ unique mission. We perform data reduction, statistical analysis, computational algorithms, and mathematical processing to understand the data, reduce it to common language, and allow more complex analytics and visualization to detail trends and mission impacts. Our six-step process (understanding, mining, cleansing, exploration, feature extraction, and modeling) is a tool- and AI-enabled approach that produces predictable and repeatable results.
Data Analytics
Dark Wolf has a broad and diverse range of data analysis and visualization expertise across a variety of customers and domains. We possess deep expertise with multimedia file formats and specifications, including metadata extraction and device and software provenance. We develop custom software using Python scientific libraries such as pandas, numpy, matplotlib, and Juypter notebooks. We use Elastic, Grafana, Looker, and other visualization platforms to develop and configure data visualization dashboards to effectively communicate data relationships and patterns visually using charts, graphs, and tables.
