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About Ramya T

Ardent data scientist and Machine Learning practitioner, with an ability to deliver valuable insights via data analytics and advanced data-driven methods. Holding a PGP in Data Science and Engineering from Great Lakes Institute of Management.

How to Build a Recommendation Engine?

Customers, today, want nothing short of personal attention and service. From service to experience and offers, what matters is the personalization that can win customer loyalty. And when it comes to personalized offers, recommendation engine comes into perspective in the way it helps organizations learn what a customer likes and recommends the right product [...]

By |2019-11-26T18:15:55+05:30November 5th, 2019|

Predicting Customer Next Purchase Day

Knowing what the customer wants even before the customer buys a product is an imperative to thrive in this digital world. It gets more customer-centric, with organizations wanting to know every bit about the customer, predict everything around the customer and take suitable action to create a swell in the number of loyal customers. [...]

By |2019-09-11T10:51:18+05:30September 10th, 2019|

How Natural Language Processing Helps Tap Value from Unstructured Data

As human beings we express everything either verbally or through written form, which carries lot of information. But how do we use all this information and derive benefits out of it? Computers are and have always been great at working with spreadsheet data and database tables which are typically structured data. But as we [...]

By |2019-06-18T17:17:31+05:30June 18th, 2019|

How Exploratory Data Analysis can Boost Machine Learning Results

On screen, Al Pacino, as the blind man in ‘The Scent of a Woman’ looked pitch-perfect for the role, did justice and the audience in turn responded with thunderous applause. That’s the post-production success for you. During the pre-production stage, the hunt for the right-fit actor for a specific role begins with the casting [...]

By |2019-04-03T15:28:01+05:30April 3rd, 2019|