Complex business problems require not only technology/engineering expertise, but also an understanding of the data lying beneath and how it impacts the business performance. Our data scientists specialize in unearthing large volumes of data and together with our Big Data engineers bring a holistic solution to our customers including engineering and statistical analysis capabilities.
Data Science and Advanced Quantitative Modeling is one of the core focus of Quadrant 4 specializing in quantitative modeling, predictive and behavioral modeling, business optimization and text mining. Combining this expertise with a deep understanding of the business problem, our data scientists are able to translate business requirements into an analytical framework.
Our data scientists are experts in a variety of econometric, machine learning, and operations research techniques used in both predictive modeling and behavioral modeling. Solutions include a wide array of pricing, forecasting, text mining, and optimization problems for a business.
Our specialization in modelling includes, but is not limited to:
Logistic Regression, SVM, Naïve Bayes, Linear Discriminant Analysis, CART
Random Forest, AdaBoost , Bagging, Boosting
Linear Regression, Ordinary Least Squares Regression, Stepwise Regression
Neural Network, Convolutional Neural Networks
Recommendation Engines, Natural Language Processing
K-Means, Hierarchical clustering, Association mining, PCA