At NetFire, we treat data science as a core part of how we build smarter systems and support better decisions.

Our team combines hands-on analytics, real-world business understanding, and modern AI tools to help you spot patterns, test ideas, and improve outcomes.

Whether you need deep research, production-ready models, or help cleaning up your data foundation, we offer a flexible, results-driven service that adapts to your team’s goals.

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Our core capabilities include:

• Applied Statistical Modeling
  Design and validation of models that stand up to real-world uncertainty—forecasting, classification, regression, anomaly detection, and more.

• Experimental Design & Evaluation
  From A/B testing frameworks to observational study analysis, we help teams design meaningful experiments and interpret results with confidence.

• ML-Ready Data Workflows
  Cleaning, feature engineering, and transforming raw data into structured, model-ready pipelines that scale.

• Custom Research for AI Systems
  Tailored studies that inform LLM behavior, fine-tuning strategies, RAG evaluation, or model alignment—all grounded in rigorous data methodology.

• Business Impact Analysis
  Translate data findings into measurable business KPIs—helping leadership make data-backed decisions with clarity and confidence.

• Data Audit & Health Checks
  Evaluate existing datasets for quality, structure, and gaps—identifying where data can be trusted, improved, or augmented for AI use.