AI & Data Science

JMI is a leader in Data Science and AI based service offerings. The combination of our SME's, Engineers, Extensive homegrown IP, thorough knowledge of processes, tools and technologies provide us with a decisive advantage in solving our client's most complex problems.

Our engineers have helped numerous companies integrate with IBM Watson, Microsoft LUIS, and Amazon Lex, as well as build custom AI Engines with enhanced Deep Learning capabilities utilizing Google’s TensorFlow. Maybe you’re looking to integrate, maybe you’re looking to build your own AI engine, or maybe you’re just looking to crowdsource training data for something you’ve already built. Whatever your AI needs, JMI has you covered.


  • JMI helps businesses innovate with Artificial Intelligence and Data Science, improving customer insights, automate processes and be cost-efficient. This is powered by our advanced technology, exceptional client care and constant investment into talent development and R&D.
  • Machine learning tools and algorithms are used to help companies develop AI-driven products and solutions. Our team has profound knowledge and experience in designing, implementing and integrating Artificial Intelligence solutions within the customer’s business environment.
  • We provide Big Data, AI, and machine learning analytics in the financial industry, with credit risk analytics, peer-to-peer lending, fixed income, secured and unsecured lending, securitization and portfolio management.
  • We conduct analytics for massive amounts of structured and unstructured data, utilizing parallel computing or cloud computing, and Hadoop or Spark Frameworks.


At JMI, we practice the end-to-end cycle of model developments: Data acquisition, Data cleansing, Data transformation, Feature engineering, Predictive modelling, Model validation and Reporting.

End-to-End Model Development Cycle
Some of the case studies include:
  • Healthcare Data Analysis
  • Churn Prediction
  • Lead Scoring and Prioritization

It is a usual practice that companies construct models to align historical data and examine reasons behind past successes or failures to gain insight. Finance, sales, marketing, and operations typically rely on this type of analysis for management reporting.

Business Intelligence tools provide sophisticated reporting, dashboards, and analytical tools for businesses to explore and interact with information.

Reporting & Dashboarding
JMI are expertise in creating:
  • Ticket Dashboard
  • Transaction Data
  • Portfolio Simulation Model
  • Automated Financial Model
  • AWS
  • Attrition Dashboard
  • Data Cleaning and Scrubbing

The commerce landscape has undergone a paradigm shift with the increasing presence of customer reviews and social media in the decision-making process.

On observing the qualitative data deeply, we have noticed that customers tend to write reviews mostly when they are dissatisfied. These reviews offer valuable information to dig deep and identify the reasons why customers move to competitor brands. Text Mining is an emerging domain with a tremendous potential to impact business margins.

Text Analysis
JMI are expertise in creating:
  • Ticker Matching
  • Web Scraping & Sentiment Analysis
  • Data Cleaning and Scrubbing

The Visual Analytics offering from JMI enables decision makers to derive meaningful output from their data points, thereby empowering them to implement accurate business decisions. It also helps in discovering trends, patterns and correlations that may go undetected otherwise.

Visual Analytics
We provide the following visual analytic services:
  • Visualisation tool evaluation and benchmarking framework for enterprises
  • Self service and collaborative solutions
  • Geospatial visualisation solutions
  • Cloud and Mobile BI solutions
  • What-if modelling based solutions
  • Big data visualisations

At JMI, Our team of developers create chatbots or build automated assistants aimed at revolutionizing the way businesses interact with customers.

We provide automated customer support and interactive experiences through the chatbot platform.


JMI’s Machine Learning offering helps organizations develop custom solutions that process high volumes of data and run sophisticated algorithms to learn how to perform a task by themselves.

Machine Learning
We are experts when it comes to:
  • Unsupervised learning & associative clustering K-means
  • Principal component analysis (PCA)
  • Collaborative filtering & Natural Language Processing

Natural Language Processing became another buzzword in the past years. But not everyone really understands what NLP is and how it can be used to improve efficiency of the process and impact your business in a positive way.

Here are some the customized services we offering using NLP:
  • Information Extraction
  • Machine Translation
  • Fighting Spam
  • Summarization
  • Emotional meaning
  • Question Answering

Deep Learning is a part of Artificial Intelligence and machine learning that is based on a set of algorithms that attempt to model high-level abstractions in data. JMI offers deep learning services by acquiring knowledge from its environment through the process and strengthens Interneuron connection to store the acquired knowledge.

Deep Learning
Our offerings include:
  • Portfolio Management
  • Customer Service
  • Sentiment Analysis
  • Deep Learning as a Platform

Our Data Scientist

JMI Data scientists can be real change-makers within an organization, offering insight that can illuminate the company’s trajectory toward its ultimate business goals.

Data Scientist
Our Domain experts perform:
  • Storytelling from search and examination of large bodies of data.
  • Structuring the unstructured, measuring the unmeasurable, adding value to data, and owning the data.
  • Synthesizing insights from disparate data sources.

Methodologies Used

  • Predictive modeling, deep learning (convolutional networks, recurrent networks, recursive networks) with NLP components embedded, recommendation systems, market basket analysis, sentimental analysis and natural language processing.
  • Linear and nonlinear methodologies such as multivariate regression, logistic regression, survival analysis, panel data studies, time-series, PCA, SVD, two-stage modeling, decision trees, neural networks, clustering, SVM, re-sampling and ensemble models.
Methodologies Used


We use the best technologies to meet our customers' needs