EXPERTISE

Data Science

Algorithmic approaches to extract patterns, insights, and value from data, in a business decision-making context.

The end-to-end pipeline of Data > Modeling > Decisioning > Deployment, when integrated and applied in specific business decision context, can deliver clear and measurable impact both on revenue and cost. Our objective in delivering data science is just that – ensuring measurable business value.

Our Approach

Most data science problems can be divided into three sequential phases – problem definition & data discovery, model estimation & validation, insights & business application. We have broad frameworks to systematically approach a wide variety of data science problems to ensure business value.

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PHASE 1

  • Problem Definition
  • Data Preparation
  • Data Discovery

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PHASE 2

  • Feature Engineering
  • Model Development
  • Model Validation

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PHASE 3

PEOPLE ANALYTICS
  • Insights & Inferences
  • KPI Dashboards
  • Production & Monitoring