Data Science
We have developed a number of proprietary algorithms that extract even the rarest and most-hidden insights from data. We have experience with running this on Big Data, Micro Data and Unstructured Data and we have built rule engines that help business users consume insights in real time.
These algorithms have shown distinct advantages over traditional, off-the-shelf algorithms:
- Ability to pull out many more useful insights with higher accuracies
- Output is in the form of simple, “If-Then” rules
Our team has 75+ Patents, 300+ Publications, and averages 15+ years of post-doctoral experience. We also have in-house UI/UX teams that work with our Data Science team. For companies that are interested in building such talent in house, we also provide training in Data Science.
We have a diverse team of data scientists and a wide-array of project examples:
- Optimized of Engineering Parameters for Intercontinental Ballistic Missiles
- Created Taxonomy for Completely Unstructured Data and Performing Sentiment Analysis of Social Media
- Classified of Astral Objects Photographed by the Hubble Telescope
- Forecasted the Failure of Implanted Medical Devices & Cell Towers
- Built Custom Web Analytics platforms
Areas of Expertise
- Big Data
- Data Analytics
- Predictive Algorithms
- Statistical Analysis
- Forecasting
- Customer Analysis & Segmentation
- Measurements of Effectiveness
- Digital Analytics
- Web Analytics
- Distribution Analytics
- Data Mining
- Digital Security
- Optimization
- Artificial Intelligence
- Soft Computing Techniques
Primary Tools
- Hadoop
- R
- SAS
- Matlab
- BigInsights
- SPSS
- SSIS
- Weka
- Stata
- mPlus
- Various BI/Reporting Tools
Techniques
- Regression
- Time Series
- Bayesian Modeling
- Decision Trees
- Neural Networks
- Fuzzy Logic
- K-NN
- Support Vector Machines
- Monte Carlo Simulations
- Evolutionary Algorithms
- Machine Learning
- Genetic Algorithms
- Optimization
- Random Forests
- Boosting
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