Data analytics and AI modernization for federal and public-sector agencies
Analytica is a public-sector focused consulting and technology firm headquartered in Washington, D.C., built around data analytics, machine learning, and enterprise modernization. The stack—Databricks, Azure, AWS, Python, R, SAS, plus deep NLP tooling (spaCy, BERT, Spark NLP)—reflects heavy ML/AI workloads. Active adoption of GitHub Copilot, Azure Fabric, and Azure Machine Learning signals a shift toward cloud-native and AI-assisted development, while the engineering-and-data-heavy hiring mix (28 of 42 open roles) supports concurrent delivery on war data platforms, federal healthcare governance initiatives, and CI/CD pipelines for analytical models.
Analytica provides data-driven consulting and technology services to federal, civilian, and public-sector health organizations. The firm operates across three domains: analytics and data management (Tableau, Power BI, Databricks, SQL Server, Redshift); machine learning and AI (scikit-learn, TensorFlow, PyTorch, MLflow, Bedrock); and enterprise modernization (cloud migration, agile adoption, IT infrastructure). Based in Washington, D.C. with 51–200 employees, Analytica is SBA Certified 8(a) and HUBZone-eligible, positioning it for federal procurement. Current project work spans complex enterprise data governance, agency-wide cloud transformation, and responsible-AI compliance—all typical of government digital modernization efforts.
Analytica uses Tableau and Power BI for visualization, Databricks and Redshift for data warehousing, Python and R for analysis, and TensorFlow, PyTorch, and spaCy for ML/NLP work. Azure and AWS are both in active use across infrastructure and managed services.
Current projects include war data platform development, federal healthcare agency data governance, enterprise data modernization, IT modernization, agile adoption rollout, and CI/CD deployment of analytical models for government clients.
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