Inderpreet Singh

Work place: Engineer, Product Development, Mahindra Comviva, Gurgaon, Haryana, India



Research Interests: Data Mining, Computer systems and computational processes


Inderpreet Singh has obtained the Degree of Bachelor of Engineering in Computer Science from Thapar University, Patiala. Presently he is working as an Engineer-Product Development in Mahindra Comviva, Gurgaon. He has done certifications in PostgreSQL , Cloud Computing and Python Fundamentals. His research interests include Analytics, Data Mining, Predictive Modeling and Cloud Computing.

Author Articles
Framework for Targeting High Value Customers and Potential Churn Customers in Telecom using Big Data Analytics

By Inderpreet Singh Sukhpal Singh

DOI:, Pub. Date: 8 Jan. 2017

Since the more importance is played on customer's behavior in today's business market, telecom companies are not only focusing on customer's profitability to increase their market share but also on their potential churn customers who could terminate the relation with the company in near future. Big data promises to promote growth and increase efficiency and profitability across the entire telecom value chain. This paper presents a framework for targeting high value customers and potential churn customers. Firstly, customers are segmented on basis of RFM (Recency-Frequency-Monetary) analysis and finally customers in each segment are targeted by various offers on basis of their similar characteristics.

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Model for Targeting Customers Based on Analytics in Telecom Domain

By Inderpreet Singh Sukhpal Singh

DOI:, Pub. Date: 8 Nov. 2016

Big data has emerged as an important paradigm for analyzing and predicting customer’s behavior. Based on the customer’s behavior various campaigns are made to target them. This paper presents a model for telecom companies which will insist them in how to target customers based on analyses of their data collected. Proposed model gathers information from various customers through preconfigured devices and then it manages and provides required insights to telecom companies on basis of which they can target customers of particular segment. Its feedback model in which companies can change their campaign strategy according to the response they receive in real time.

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Other Articles