Data Science 2018-08-30T10:59:46+00:00
DATA SCIENCE
DATA SCIENCE
Discover data trends, patterns and useful insights with our experienced data scientists and proven methodologies. Leverage our extensive experience across different sectors and industries. Leverage our expertise in predictive analytics to derive real-time insights, reduce customer churn and solve your toughest data challenges.
Discover data trends, patterns and useful insights with our experienced data scientists and proven methodologies. Leverage our extensive experience across different sectors and industries.
Our Approach
Problem Definition
Problem definition is one of the most important part of data science pipeline. Sigmoid’s process involves identifying and defining problem related to data science, multiple client meetings, understanding the use case, setting up pipeline to acquire right data, regular follow ups with the client and proper documentation.
Data Preparation & Data Discovery
Data preparation and discovery are critical for analytical, business intelligence and machine learning accomplishments. Our data preparation involves gathering, combining and organizing data and data discovery is a business user oriented process for detecting patterns to be used for analytics and machine learning applications.
Model Development & Validation
Our model development process involves setting up different ways to collect data from different sources, understanding your real-time data, finding a statistical, mathematical or simulation method to gain understanding and make accurate predictions. In this method, we build the model, test the fitness of model and validate the model on your data.
Production & Monitoring
Our production process is a continuous process of delivering reproducible and autonomous data pipelines, stream analytics pipelines, real-time prediction applications, model training workflows and machine learning based predictions for the end users. With our expertise in monitoring, you can understand correlations between different metrics.
Our Approach
Problem Definition
Problem definition is one of the most important part of data science pipeline. Sigmoid’s process involves identifying and defining problem related to data science, multiple client meetings, understanding the use case, setting up pipeline to acquire right data, regular follow ups with the client and proper documentation.
Data Preparation & Data Discovery
Data preparation and discovery are critical for analytical, business intelligence and machine learning accomplishments. Our data preparation involves gathering, combining and organizing data and data discovery is a business user oriented process for detecting patterns to be used for analytics and machine learning applications.
Model Development & Validation
Our model development process involves setting up different ways to collect data from different sources, understanding your real-time data, finding a statistical, mathematical or simulation method to gain understanding and make accurate predictions. In this method, we build the model, test the fitness of model and validate the model on your data.
Production & Monitoring
Our production process is a continuous process of delivering reproducible and autonomous data pipelines, stream analytics pipelines, real-time prediction applications, model training workflows and machine learning based predictions for the end users. With our expertise in monitoring, you can understand correlations between different metrics.
Our Solutions
How we can help you
Our Solutions
How we can help you
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