Statistical analysis & Machine learning

Statistical analysis is frequently used in product design to understand the variability of design parameters, environmental stresses, and customers' usage of the product. 

 We have expertise in statistical analysis and machine-learning in the following domains:

• Product Usage Analytics
• Weather Data Analysis
• Warranty Data Analysis
• Product Reliability Analytics
• Bayesian Network Modeling 

Matlab:  is a versatile programming language and numerical computing environment widely used in engineering applications. It offers a rich collection of toolboxes that facilitate statistical analysis, machine learning, and mathematical optimization. 

Simulink: is a graphical programming environment for simulating multi-domain dynamic systems. Its primary interface is a graphical block diagramming tool and a customizable set of block libraries.