We have credentialed Data Scientists who specialize in insurance predictive analytics. Our data scientists are adjunct faculty in University Mathematics and Statistics programs. They are skilled in machine learning technologies such as
Generalized Linear Modeling
Random Forests Techniques with Bagging
Boosting with AdaBoost
Linear & Logistic Regression
Principal Components Analysis
K-Nearest Neighbor Algorithms
K-Means & Other Clustering Techniques
Classification & Decision Tree (CART) Techniques
Natural language Processing with Sentiment Analysis
We are experienced R, Python, Jupyter, SQL, SPSS, and SAS programmers and can help you find patterns in data to improve your
Product inforce management
Claims, underwriting & pricing with better risk scoring
Marketing & sales to Find New Channels of Profitability
Assumption setting to improve retention & other experience indicators
Improve utility of big data to enhance pattern recognition in internal data
We have the track record of demonstrated success and expertise in statistical model building. We have strong data analysis and data feature engineering skills to build models that validate with a high degree of statistical power. Our clients can attest to the strength of our abilities to extract new insights from their internal data.
