A boutique data science firm is what we call ourselves – we go beyond traditional statistics and computer programming and extract actionable insights from data. We can use data emanating through varied sources like emails, phone calls, text, images, videos, social media, sound and many other. Our machine learning algorithms drive real value for customers and improve efficiency.

Algo, AlgoAnalytics' AI platform for Banking and Financial Services helps increase revenue and profitability with solutions like Churn Prediction and Prevention, Recommender Systems, Cross-selling, Credit Score, Automated Signature Verification, Automated Email replies, and many more. Check out Our Projects/Apps for solutions we offer across domains

Banking And Financial Services
Our predictive analytics solutions include churn, segmentation, Recommender System, credit score, fraud detection and others. Analytics enables banks and other financial companies to leverage huge past data to get customer insights and improve revenue and profitability…..
Retail & Ecommerce Services
Retailers, today are facing a very competitive environment and customer intelligence, merchandizing, marketing and supply chain logistics have become the keys to success. Our advanced analytics solutions use deep learning to help on line as well as off line retailers unleash power of data….
Healthcare Services
Our image analytics solutions identify presence of a condition with a high degree of accuracy thus facilitating further care. Other solutions include but are not limited to work flow optimization, reducing readmissions, mortality predictions…..
Practice of law produces humungous amount of data. Lawyers must go through the vast amount of legal information and evaluate the findings. We use techniques like Natural Language processing...
Affiliated Companies
TextSense™ - an analytics platform that employs NLP and works with datasets to create summarizations of news or articles; Sentiment Analysis; Question Answering model and extraction of important keywords..

Latest Posts
The Role of a Data scientist

A Data Scientist today is in much demand. The kind of skill set and abilities required are not very different from what say a computer engineer would do- coding, programming, analyzing etc. However, a major winner is being ruthlessly analytical and data driven.

Learning and researching about the new Machine Learning models “out there in the market” makes the work of a Data Scientist different from the traditional software developer. One needs to understand the problems of the clients, research on which model/s to be employed, research, and design and tweak Machine Learning models.

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Machine Learning and Insurance

Risk and Insurance are words that go in sync with each other- one cannot live without the other. The insurance industry has always been dependent on various factors, the most important being statistics to know their customer’s and the market demand. Machine Learning(ML) and AI has brought in a lot change in the way Insurance strategies are now being structured.

Besides predicting risks, ML and AI have now helped the Insurance industry to monitor, analyze not just their own strategies at one given time period, but keep a constant look out for changes that affect their customers, thereby keeping their policies attractive and thus halting retention.

To get that competitive edge, Insurers need to engage with Machine Learning (ML) to improve not just their business strategies but also tailor the insurance purchases to customer’s unique needs to bring in customer satisfaction.

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Text Analytics: Taking search to the next level
Can Text Analytics really help reduce manual overload? Let’s take a look back when we started sharing interesting links, bookmarks, etc. During the early 2000’ there were many “tagging sites” that emerged. Tagging helped in collating our searched links online rather than just in a browser and also helped share the saved links with a single tag. It was soon realized that the one word tagged for different people meant different things and thus context and meaning to that tag was required and with that relevant sub-tags became a part of the search criteria.
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Diabetic Retinopathy & Machine Learning
Today nearly 415 million diabetic patients are at risk worldwide. One of the risks is the high prevalence of Diabetic Retinopathy (DR). DR is becoming the main cause of blindness among working-age population. The risk of severe vision loss can be significantly reduced by timely diagnosis and treatment. Currently, only about 60 percent of people with diabetes are stated to have yearly screenings for Diabetic Retinopathy. Between 90 percent and 95 percent of all patients with diabetes have Type 2 diabetes. Given such a disproportionately large number, this group consequently comprises a large proportion of patients with visual impairment who suffer from Diabetic Retinopathy, even though Type 1 diabetes is associated with more frequent and more severe ocular complications. With increasing industrialization and globalization, there is a concomitant increasing prevalence of diabetes that is leading to a worldwide epidemic.
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Machine Learning & Retail Analytics
Analytics in Retail has moved beyond just forecasting and making simple assumptions about customers. Machine learning and Artificial Intelligence (AI) has started to provide retailers with powerful tools. These tools are just beginning to bridge the gap between marketing automation and retail management consultation.
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