Sharada Narayanan

Sharada brings 6+ years of experience in Data Science and Machine Learning to dotData. Sharada is an integral part of the Customer Success team, supporting the automation of business solutions using dotData's AutoML and Auto Feature Engineering. Sharada’s background includes diverse experiences from the retail and automotive industries working on implementing Machine Learning solutions for Customer Analytics, Supplier Analytics and Purchasing analytics.

Harnessing Data Analytics in the Retail Industry for Actionable Insights – Part 1

Drowning in Data, Starving for Insights Why Deep Analytics in Retail is No Longer Optional Retailers possess a wealth of…

4 days ago

Boost Time-Series Modeling with Effective Temporal Feature Engineering – Part 3

Introduction Time-series modeling is a statistical technique used to analyze and predict the patterns and behavior of data that change…

2 years ago

Reducing Customer Churn in the Insurance Industry with Machine Learning

AI automation can solve a variety of problems and address multiple Insurance use cases The insurance industry is one of…

4 years ago