Avinash Udaykumar
  • Male
  • Broomfield
  • United States
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Short Bio:
I Share about #AI, #BI, #IOT, #ML #Data #SaaS, #SocialMedia, #ProductMarketing, #SEM #ContentMarketing.
Job Title:
Lead - Digital Marketing
Job Function:
Data Science, Machine Learning, AI, Business Analytics, Deep Learning, BI
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Avinash Udaykumar's Blog

The Queen’s Gambit with AI

Posted on December 1, 2020 at 8:00pm 0 Comments

With over 62 Million viewers, ‘The Queen’s Gambit’ is currently the #1 show on …


Automating Pattern Detection using Machine Learning for Telecom

Posted on November 24, 2020 at 12:00am 0 Comments

Consistent asset health across many levels from cell sites to regions is critical to ensure uninterrupted operations for telecom operators. However, proactively identifying anomalous patterns like equipment malfunction remains a major challenge. Drawing on Subex’s deep implementation experience, this paper describes the chief steps necessary to deploy successful pattern detection solutions. It also examines some high impact use cases for pattern detection that have systematically delivered…


Role of artificial intelligence and data science for e-commerce in the emerging scenario

Posted on October 12, 2020 at 11:00pm 0 Comments

COVID-19 is changing consumer behavior and driving more people to shop online. At BigBasket alone, we have witnessed a surge in demand by 5X – 6X during the initial days of the lockdown in India. While the pandemic has driven the global demand for essentials and goods online, it has also brought on some new challenges for the e-commerce industry.

Leveraging artificial intelligence and data science to optimize e-commerce operations

Balancing the…


Questions to ask while implementing Anomaly detection system

Posted on May 27, 2019 at 2:30am 0 Comments

A.I. based automated Anomaly detection system is gaining popularity nowadays due to the increase in data generated from various devices and the increase in ever evolving sophisticated threats from hackers etc. Anomaly detection systems can be applied across various business scenarios like monitoring financial transactions of a fintech company, highlighting fraudulent activities in a network, e-commerce price glitches among millions of products, and so on. Anomaly detection system can work…


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