 
“Ridgeant believes that every organization has its own story, and that story is hidden in their data.” 
We have chosen data science as the way to help Businesses grow by finding the hidden patterns in their data.
This data contributes in optimizing businesses in various ways like in decision-making, human resource, optimizing sales, manufacturing, and marketing with a lot of other parameters.

Ridgeant helps global organizations represent volatile and heterogeneous data graphically, this helps in making critical business decisions based on Ridgeant's predictive analytics. 

This helps us deliver solutions suited to our clients need.

Business Development

Data

Data Center

Enterprise Software

Technology

Ridgeant Technologies

Nitesh Lohar

Harsh Kakadiya

The Data Engineering Team at Ridgeant Technologies is responsible for building and maintaining the infrastructure that collects, stores, and processes data. They design, develop, and optimize pipelines that transform raw data into actionable insights, ensuring data is clean, reliable, and accessible for analytics and decision-making. This team plays a critical role in enabling the company's predictive analytics capabilities, thereby helping global organizations uncover hidden patterns and make data-driven decisions.

Data Engineering Team

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Team members