Precise Analytics is built by data scientists, engineers, and business intelligence professionals who bring deep domain expertise to every engagement. Our team combines federal contracting experience with commercial analytics know-how, delivering solutions that are technically rigorous and focused on client outcomes. When you work with Precise Analytics, you work directly with the people building your solution.
CTO & Founder
Technologist with deep expertise in data strategy, federal contracting, and enterprise analytics. Norman founded Precise Analytics to bring production-ready data solutions to government agencies and commercial clients.
Chief Data Scientist
Leading AI and machine learning innovation across federal and commercial sectors. Krishna specializes in predictive modeling, NLP, and building ML pipelines that drive measurable business outcomes.
Director of BI Solutions
Expert in business intelligence systems, dashboards, and data storytelling. Vivek transforms complex datasets into clear, actionable Power BI and Tableau dashboards for agency and enterprise clients.
Full Stack Engineer
Crafting scalable analytics platforms and user-friendly frontend experiences. Prashant builds the data applications and portals that bring Precise Analytics solutions to end users.
We stay intentionally lean. When you engage Precise Analytics, you work directly with the engineers and analysts building your solution — not a rotating cast of account managers relaying requirements back to an offshore team. Questions get answered by the person who actually knows the answer.
Our team's federal contracting background means we default to documentation, security review, and compliance discipline that government engagements require. We apply that same rigor to commercial projects, without the multi-layer approval cycles that typically slow federal-only shops down.
We don't hand off a slide deck and call it strategy. Every engagement is scoped around what ships — a working pipeline, a live dashboard, a deployed model — because a recommendation that never reaches production doesn't move the business.
Data strategy, engineering, machine learning, and BI design each need a different kind of thinking. Rather than force one generalist to cover all four, our core team splits ownership by discipline so each part of an engagement gets a specialist, not a generalist stretched thin.