Data Science has grown as a discipline over the last couple of years to encompass many facets of providing insights into our ever-increasing mounds of data. ClearEdge has experience from traditional data science methods such as exploratory data analysis, statistical methods, machine learning, and data-driven analysis to new methods involving deep learning and network graph modeling. Our engineers help provide meaningful insight into your data to improve analyst and business performance and value.

Data Science has grown as a discipline over the last couple of years to encompass many facets of providing insights into our ever-increasing mounds of data. ClearEdge has experience from traditional data science methods such as exploratory data analysis, statistical methods, machine learning, and data-driven analysis to new methods involving deep learning and network graph modeling. Our engineers help provide meaningful insight into your data to improve analyst and business performance and value.

• Exploratory data analysis
• Machine Learning
• Network graph modeling
• Information insight
• Data mining
• Data-driven analysis
• Statistical methods
• Deep Learning
• Development of large-scale distributed data analytics using cloud computing techniques
• Deployment, administration, and integration of data analytic frameworks, mission-critical analytics
• Focused analytic specialization in predictive analytics, big data processing, bulk, streaming, time series, and graph analytic engineering
• End-to-end data analytics including data flow, transform, distribution, and ingest engineering
• Expertise in enterprise-level data provenance and legal compliance