Data Analytics & Modeling

Data Analytics

Our subject matter expertise and effective data science techniques will be an invaluable aid in helping you to make informed data-driven decisions that are relevant to your unique circumstances

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Data Science

Understanding Your Business

At GFRAM we take the time to understand our clients’ business needs, resources, and priorities and deliver timely Data Science (DS) solutions that are creative and practical. Our domain knowledge and expertise span various disciplines including Insurance, Actuarial Science, Pension, Enterprise Risk Management, Finance, Investment and ALM, and Policy Analysis.

What We Can Do

Our Data Science (DS) professionals combine their extensive Domain Knowledge with expertise in Machine Learning & AI to extract actionable insights and develop customized solutions in order to facilitate effective decision-making. At GFRAM Consulting, our domain knowledge also sets us apart from other professionals, some of which may only possess Machine Learning knowledge. Having worked in senior leadership positions in various business domains including insurance, banking, academia, and policy analysis our Consultants truly understand the issues at hand and the unique perspective of the business leader. We can hit the ground running and where necessary can offer tremendous guidance in helping the business to elicit and clearly define their underlying issues.

Let us help you to unlock the Information Capital and Actionable Insights that are embedded in your data. Contact us for all your analytical and Data Science needs.

Data Science 2

Data Science, Machine Learning Techniques & Selected Software

SELECTED DATA SCIENCE SOLUTIONS

  • Assessing Debt Collectability
  • Automated Insurance Underwriting
  • Policyholder & Customer Behavior
  • Mortality Studies by Risk Factors
  • Termination or Churning models
  • Experience Studies & Assumptions
  • Customer Segmentation & Targeting
  • Loan Default Models for Lenders
  • Cell Phone Usage & Pricing Analysis
  • Fraud Alert Models for Insurers
  • Statistical Process Control Models
  • General Model Building & Analysis

TYPICAL MACHINE LEARNING TECHNIQUES

  • Linear Regression
  • Generalized Linear Models (GLM)
  • K-Nearest Neighbors (K-NN)
  • K-Means Clustering
  • Support Vector Machines (SVM)
  • Decision Trees & Random Forests
  • Neural Networks (Artificial, etc.)
  • Principal Component Analysis (PCA)
  • K-Fold Cross Validation & Boosting
  • Natural Language Processing
  • Time Series Models & Analytics

SELECTED SOFTWARE

  • SAS
  • RATS
  • R
  • Python
  • SQL
  • Mathematica
  • Analytica
  • Oracle Crystal Ball

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