Data Science
Our best of breed engineers help solve complex problems using mathematical techniques and statistics to bring together information for unique applications. Its always about improving the experience of the end user, and the maximizing the ROI for the company. Some areas of interest in analytics are Sports, Healthcare, Retail. We help analyze sensor data in real time to produce real time insights that has many applications in sports training and enriching the quality of sports and stretch the players limit.
Data Science and Advanced Quantitative Modeling are at the core of our offering. Combination of diverse expertise with a fine understanding of the industry problems, allows us to translate business requirements into an analytical solution/framework. We have used extensive machine learning for both predictive modeling and behavioral modeling. We have produced solutions to an array of real world problems like pricing, forecasting, text mining, and optimization for our clients. We use both open source and legacy tools. Mainstream tools include R, SPSS, Python, and SQL, and specialized models need niche tools like BUGS, GAUSS, CART, MATLAB, CPLEX, and GAMS. For data visualization, we have used chart, raw, digraphs, Instant Atlas, Tableau, Spotfire, and custom Excel visualizations and other tools.
Data Engineering
Our capabilities in data engineering makes us capable of analysing both traditional and big data. Be it fetching and managing data, or producing analytics solutions to real world problems, our engineers are well equipped with the state of the art technologies.
We suitably choose the data storage technologies, be it traditional RDBMS MySQL or MS SQL Server or noSQL data management solutions. We are at ease implementing Hadoop systems and have deep understanding of MapReduce, Hive, and Pig. We have executed scalable machine learning projects in big data environment using open source technologies.
We decide the platforms for the solutions to our client based on scalability, cost, ease of development and maintainability. We are confortable with Linux and Windows. We are comfortable with Java, Python, C++, php and other languages. Language of development is decided based on the needs of the client problem and its solution.
Our solutions gel into the client computing infrastructure in such a manner that it feels like it was an integral part of the client infrastructure.
Practices
Retail
Almost all major retailers today use analytics for strategic and tactical decision making. We help retailers leverage analytics for a variety of uses ranging from forecasting and pricing to marketing, ultimately improving their ROI.
Sports Analytics
Real time Player Motion Analysis
We use state of the art motion capture devices to capture the player motion. These are analyzed in real-time to provide feedback to the player and coach to optimize the players performance. We measure a whole set of parameters which help to analyse and compare the player's performance. This information is then used by the player to improvise his techniques. The information is provided using 3d animation, graphs and statistics.