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Emerging India Group > Consulting
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We are one of the fastest growing data science consulting companies in India. We offer data science and business intelligence solutions leveraging artificial intelligence and machine learning technologies to build higher value solutions for customers worldwide. Our offerings include consulting ranging from problem identification to actual data preparation and modelling, followed by ongoing optimization and value creating for our clients. We also provide training services to increase business user adoption of data science offerings. Our research division for data science ensures that the latest, most effective, and cutting-edge offerings are implemented with maximum ROI and satisfaction for our clients

Our Data Analytics consulting services include finding the best use cases for your company and working with you to implement an end to end data science solution.

There is a lot of hype in data analytics and machine learning. We, at Emerging India Group, help you to cut through the hype with end to end predictive analytics, AI and machine learning strategy and implementation with direct ROI. We are experts in data analytics and work with your in-house team or help you deliver projects using entirely our resources.

We offer custom development and solutions in data engineering, machine learning, predictive analytics, big data, and Artificial Intelligence. We use specific domain knowledge to solve complex and novel business problems with data-driven systems.

By employing a holistic approach to our services, we combine the latest technical advances, real-world expertise, innovation, and an understanding of core business requirements to generate tangible and operational value.

We help you cut through the noise in the rapidly changing information landscape and find patterns in the data to monitor trends, predict, and control your future.

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Core Competencies

Our focus on value creation for the customer, domain expertise and global delivery model blended with great innovation and operational excellence are the key reasons for exceeding customer expectation in almost all the projects and work we undertake.

Our leaders have more than 15 years of experience in delivering Business Intelligence and analytics projects with cutting edge tools.

  • We have a very healthy pool of experts and SMEs in this domain
  • A sharp research focus with dedicated R&D division
  • Dedicated teams for various domains and tools
  • Cutting-edge decision analytics and data mining tools – Python, R, SAS, SQL, Big Data tools, Tableau and other UI tools.

SERVICES

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INDUSTRIES

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PROJECTS

Solution-Attrition Prediction and Control

Description

A leading MNC came to us with a problem of high rate of employees leaving their company.

Methodology

  • Analysed the reasons that contribute most to an employee quitting the company by usingfeature selection.
  • Applying statistical models to predict an employee’s intention of quitting.

 

Benefits from the Project

Suggested factors that affect the behaviour of current employee to reduce the attrition in the company from 16% down to 4 %..

Tools Used

  • R
  • Tableau
  • Descriptive Statistical Techniques

Offer Renege for a conglomerate

Description

A very large conglomerate was struggling with offer renege and we solved their problem using analytics.

Methodology

  • Predicted the probability in buckets ranging from 5% to 95% of an individual to renege on an offer based on the machine learning algorithms.

 

Benefits from the Project

Reduced offer renege from 30% to 12%. Also helped the organization to focus on more suitable candidates..

Tools Used

  • Python
  • Tableau

Insights based on customer reviews

Description

By the help of user reviews we need to find insights which can help retailers and manufacturers.

Methodology

    1. Using SQL we created reports which can help to take business decisions
    2. Using Tableau we created effective visualisations
    3. Word cloud of all the negative comments to understand the major issues

 

Benefits from the Project

Recommended factors that needs to be worked on for manufacturer and retailers and thereby improve the business.

Tools Used

  • SQL
  • Tableau
  • Excel

Sentiment Analysis

Description

  • Sentiment of general public regarding two recent economic changes i.e. Demonetisation and GST are to be observed on the social networking platform Twitter.

Methodology

  • Data is collected using flume by hitting the right APIs using the desired keywords.
  • Using AFINN dictionary, the tweets are assigned positive/negative scores and then exported to excel for analysis.

 

Benefits from the Project

  • The public sentiment regarding various policies and changes can be determined.
  • This kind of sentiment analysis helps in better policy making.
  • Targeting the right groups for election campaigns, advertisements etc.

Tools Used

  • Hadoop
  • Pig
  • Flume

Sea Route Cost Optimization

Description

  • To decide the cost optimal location among various ports to bring the materials from for a construction project. Factors such as tidal data, material cost, distance, barge size, ship size, fuel cost etc. are considered.

Methodology

  • Considered the factors which play critical role in determination of the overall costs of a construction project in port areas.
  • Keeping the timeline of project as reference, factors such as tidal data are predicted.
  • Cost function is developed to find the minimum cost location with maximum available resources for the construction to be done.

 

Benefits from the Project

  • For a construction project material may be available from multiple sites but finding the optimal one keeping many costs and constraints is the key task which has been accomplished in this project.
  • Predicting maximum time for the construction material ships to transit during appropriate tide levels.
  • Minimising the cost.

Tools Used

  • Python
  • Tableau

Airlines Delay and Cancellation Patterns

Description

  • Flight delay and cancellation data for the past few years in the US is given. Objective is to find trends and patterns with focus on various airlines, days, seasons etc.

Methodology

  • Data cleaning and pre-processing was the first step.
  • Using EDA various graphs were plotted to find various trends such as correlations, heat maps etc.

 

Benefits from the Project

  • We can find out which airlines should be booked on what days and in what seasons so as to reduce the probability of delays and cancellations.
  • Find the overall general attributes to be improved from airline’s point of view.

Tools Used

  • Python
  • R

Heart Disease Prediction

Description

The Department of Cardiology at a very renowned Indian hospital plans to predict severity of heart disease among patients so as to reduce the death rate.

Methodology

  • Design an UI to predict accuracy of severity level.
  • Applying statistical models to predict the accuracy of severity level.

 

Benefits from the Project

It can help doctors to attend patients having high severity of heart disease. This resulted in reduction in causality rate by 10%.

Tools Used

  • Python
  • Tableau
  • Descriptive Statistical Techniques

Analysis of Nifty-50 shares on NSE

Description

This project will help the investors to decide when to buy a particular share and will predict the possibility of 10% increase in share price in next 6 months based on various ratio analysis.

Methodology

  • Extracted the last 5 years data of al 50 shares
  • Did 6 major Ratio Analysis with peer companies.

 

Benefits from the Project

  • Helps investors to make right decisions through technical analysis.

Tools Used

  • Python

Sentimental Analysis of YouTube comments

Description

Understand the public response to a particular video in YouTube by performing sentiment analysis of the comments using Big Data tools.

Methodology

  • Extract the comments of the YouTube video.
  • Analyse the polarity of each comment by lexicographic method.

 

Benefits from the Project

Determine the overall positive, neutral and negative response of the viewers for a video using big data tools.

Tools Used

  • Python
  • Flume
  • Pig
  • Hive