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Data Science & Applications

The advent of a whole new generation of data processing technologies, platforms and architecture can prove to be a game-changer, for your business, if leveraged well enough. That’s where BluePi can help – arming you with the applications, tools, and techniques that are customized for your business and work well with your existing IT infrastructure. Here are a few examples of Data Science Solutions and Applications we can build:

Text Analytics


“Really interesting insights come when you marry text analytics with quantitative data, operational data, financial data and Network Data.”

- Thomas Kunjappu, Sr. Product Manager, Twitter

Does your Business deal with Gigabytes of written inputs – usually in the form of feedback from customers, emails, notes by sales teams, comments on social networks, reviews, ratings, blogs, across the whole Internet? Our gut feeling says - you do!

But, when you come to think of it, all of this is useless, unless you have the right platforms to process it and generate quantifiable insights.It’s easier said than done, though, for one simple reason – computers do not understand Natural Language, the way human brains do – at least not completely, yet. There have been rapid advances in the fields of Artificial Intelligence and Natural Language Processing over the past decade, that now make it possible to train the computers and build complex algorithms, helping them make sense of written or spoken, textual language.

This process of deriving quantifiable information and insights from unstructured textual data is known as Text Analytics or Text Mining. BluePi is proficient with some of the most advanced technologies in this space - including the likes of Python, NLTK (Natural Language Toolkit), POS Tagger (Part-Of-Speech Tagger), LPA (Layered Process Audit), L-Spark, Scala, Apache Spark’s MLlib (Machine Learning Library), and a whole lot more!

Search as a Service

Whether building a search capability in your mobile applications or website; or building a whole new BI Dashboard on top of it, including logging and tracking features, BluePi has successfully delivered multiple projects across the entire spectrum.

Deployed on managed cloud, Search as a Service is easy to setup, scalable, cost-effective, reliable, secure and production-ready. You can easily change your search parameters and fine-tune search relevance per your changing needs. Some of the common use cases include logging and tracking data from IOT applications, tracking & analyzing stock trades, leveraging data to detect and defeat hackers, and so much more!

BluePi also has rich skills and proficiency in Apache Lucene, Apache Solr and Elasticsearch.

Recommendation Engine

There are multiple benefits of integrating contextual information with Recommendation Engine especially in mobile based recommendation services. From recommending the right content to recommending the right onboarding plan for each user persona, recommendation engines can prove to be a shot in the arm for today’s Marketing professionals.

Here are some of the advanced algorithms we’d used for building the recommendation engine module of piStats, our custom product suite for media & entertainment businesses:

  • Contextual Stream Model
  • Topic modelling using LDA (Latent Dirichlet Allocation)
  • Alternative Least Squares method for Collaborative filtering
The module recommends the right content for a user, based on his/her user behavior, on a real-time basis.

Predictive Analytics


“Predictive Analytics gives you the power to predict who will click, buy, lie or die” - Eric Siegel, Predictive Analytics World

Sentiment Analysis, Churn Analysis, Lead Scoring Models, Pricing Models, Risk Management & Underwriting, etc., are few of the examples where Predictive Analytics has been put to use.

BluePi can help you build a custom application with predictive analytics at the heart of it, helping you solve business problems much before they occur. You can read more about it in our recent blogpost or watch a recording of our recently concluded webinar on Real Time Big Data Analytics for Competitive Advantage.

As Gartner explains, the most valuable Predictive Analysis solutions are those that are faster, more relevant to businesses and easier to use; while being increasingly focused on the prediction aspect rather than description, classification or clustering. Real-Time Analytics

The success of today’s businesses depends on their ability to “fail faster” by gathering feedback and taking decisions on the go. That’s the essence of real-time analytics. Apart from the traditional use case of monitoring and reporting, real-time analytics can help you make dynamic changes based on user preferences and bet big on test and measurement philosophy as explained in this blogpost.

Some of the technologies BluePi specializes in, include Apache Kafka, Amazon Kinesis Streams, Apache Storm, Apache Spark, along with reactive frameworks like MeteorJS.