Need for full Stack data science

Big Data is one of the most important key resources to get a competitive advantage in business for any organization.  It’s very important to understand the reasons why the significance of Data Science is gradually recognized in recent business.
  • An explosion the amount of data by smart devices
  • Machine Learning enables to Process Unstructured Data
  • The impact of Internet is multi-fold in industries such as Advertisement and Retail E-commerce

Full Stack Data Science2

teams

Our offering

A Full-Stack Data Science services is a perfect mix of Data Science and Machine Learning. Expedux team can design and build “End-to-End data analytics and implementation” for manufacturing and ecommerce organizations.  We implement a strong data culture so that a Data Science is not in a service mode rather helping organizations build data strategy that enables meaningful decisions.

Data Science and Artificial Intelligence

  • Leverage artificial intelligence to discover the true potential of your data.
  • Predictive analytics

Artificial-Intelligence
Data Science

Data Strategy Consulting

  • Use cases definition & prioritization
  • Architecture design

Big Data Engineering

  • Leverage artificial intelligence to discover the true potential of your data.
  • Predictive analytics

Full Stack data science

Technology Stack


Basic Statistical Language
pythan
julia
Data Science Library
seaborn
numpy
Pandas
scipy
Relational Database
SQ-Lite
postgreSQL
My-sql
Distributed System
MongoDB
hadoop
apache-spark
aws
Container environment
docker
Version control
GitHub
Web Framework
dj
flask
apache-spark

Our works


Built a Hadoop Data Lake to integrate data for faster analysis for a large product manufacturer

For large set of data, the complexity of the unstructured data, components, parts and machine data requires big data integration. Our customer –a large product manufacturer wants to build a Hadoop Data Lake to integrate data for faster analysis. Our full stack data science team implemented interactive data processing and analytics functions & allowed for new Methods and Machine Learning for predictive maintenance.

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End-to-end data strategy for a large bank

The process of billions of the records in banking sector by using Ab initio is very difficult and to process the data it will take lot of time. Expedux built a cost effective solution and improved the data drive decision making by 30%

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Full Stack Data Science Solutions For Retail Major

Our customer has different data sources from competitors, customers, infrastructure, supply chain and operations. They wanted to get the valuable information from these sources to do better analytics which helps to take strategic decisions and save millions of dollars for their business operations. Expedux implemented full stack data solutions that facilitate the retail client with

  • Customer Behavior Analytics
  • Competition Analytics
  • Operational Analytics and Supply Chain Analysis
  • Personalizing the In-Store
  • 360 degrees Overview
  • Customer Journey Analytics
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