Case Study · Data Analytics

Platform as a Service for Data Analytics

Built exclusively for Data Scientists in the realm of Data Analytics PaaS, tailored across AWS, Azure and GCP. Our web based solution, hosted across AWS, enables seamless dataset operations: uploading, cleansing and experimentation. A success story of fine tuning ML algorithms, marking Digiratina's commitment to building advanced technology solutions for partner companies.

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What we brought together

  • Dataset Upload
  • Data Cleansing
  • ML Experimentation
  • AWS, Azure & GCP
One platformData Analytics Platform as a Service
Data scientistsFine tuned ML algorithms
Industry
Data Analytics
Delivered
Dataset Upload · Data Cleansing · ML Experimentation · AWS, Azure & GCP
Tech stack
11 technologies
The Engagement

Scope of Our Services

01

The Challenge

Existing homegrown legacy applications with complex UI and difficult to maintain.

02

Our Solution

Redesign in microservices architecture with Java/Spring technologies. Redesign/Rewrite front end application to latest UI/UX and technologies.

What we delivered

  • Dataset Upload
  • Data Cleansing
  • ML Experimentation
  • AWS, Azure & GCP
Technologies

The Tech Behind the Solution

Our tech stack is the backbone of Digiratina, fostering the creation of robust, scalable, and secure solutions. We remain at the forefront of industry advancements, consistently exploring new technologies to deliver excellence to our clients.

Used in this project

ReactReactTypeScriptTypeScriptHTML5HTML5SassSassWebpackWebpackDockerDockerPythonPythonAWSAWSPostgreSQLPostgreSQLPostmanPostmanJiraJira
More Work

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