Data Science

Infinity's Data Science division works at helping our clients transition into the age of data science' through intuitive, intelligent processing of valuable customer data using technologies & infrastructure tuned to respond with laser speed & precision to business requirements.

  • Our team of professionals help you define a continuous deployment roadmap towards organizational delivery goals based on the analysis of the business’ infrastructure and processes
  • Infinity boasts in-house machine learning product suites customized to clients’ requirements through intuitive, iterative cloud-based devops platforms and integrated pipelines and Deep Natural Language Processing (DNLP) based automated customer-support systems
  • Future offerings will include cutting-edge Smart Data Discovery software to reshape the client experience using contextual knowledge and empirical customer feedback data

The Infinity Data Science Philosophy

Vision Vision

We are driven by finding ways to apply Data Science at the forefront of business, leveraging the potential of the ever increasing amount of data.

Mission Mission

We consider it our mission to discover unique ways in which data science can provide new solutions to old problems .

Value Value

We believe our clients are sitting on untapped potential in the form of a history of amassed, unstructured, unused data and it is our duty to derive unique technological value from that reserve.

Purpose Purpose

To preserve and improve the quality of human commerce and life through exploration and technology.

Objective Objective

To deliver novel insights and methods, create tools that increase growth and push companies across the globe to higher technological literacy.

Tools

A collection of the best closed & open source technologies & tools for data science applications.

Python

  • Pandas
  • NumPy
  • Matplotlib

R Programming

  • GGPlot2
  • Caret
  • Shiny
  • data.table

Visualization

  • TABLEAU
  • MICROSOFT POWER BI
  • SPLUNK
Data Tool

Frameworks

Infinity uses three types of ML frameworks, depending on the scope and the scale of the project.

Full Stack Frameworks

  • Pyramid
  • Django
  • Turbogears

Micro Frameworks

  • Flask
  • CherryPy
  • Bottle

Asynchronous Frameworks

  • Dash
  • Tornado
  • Growler
Contract Optimization

Cross-border Contract Optimization

Closed-loop CX Program

Closed-loop CX Program

Market Sentiment Analysis

Market Sentiment Analysis

Customer Churn Prediction

Customer Churn Prediction

FIRST

FIRST

Voyager

Voyager

Supply Chain Reinvention

Supply Chain Reinvention

Predictive Maintenance

Predictive Maintenance

Connected Safety

Connected Safety

Demand Side Management

Demand Side Management

Distribution Generation

Distribution Generation

Demand Response System

Demand Response System

Fault Prediction System

Fault Prediction System