Flowers

DataHour: Churn Analytics in Telcos

Online 13-12-2022 08:30 PM to 13-12-2022 09:30 PM
  • 4816

    Registered

  • Knowledge and Learning

    Prizes

DataHour Recording

Find the resources used in the DataHour HERE.

About the DataHour:

Customer retention is important for businesses to analyze its growth and effective working strategies. In this DataHour Sakshi will discuss factors that constitute the degradation of business due to churn especially in Telcos.


Prerequisites:
 Enthusiasm for learning Data Science and basic knowledge of Python.


Who is this DataHour for?

  • Students & Freshers who want to build a career in the Data-tech domain.
  • Working professionals who want to transition to the Data-tech domain.
  • Data science professionals who want to accelerate their career growth


Speaker:

Sakshi Gujral

Data Scientist at Concentrix

Sakshi Gujral is currently working as a Data scientist at Concentrix. She is also pursuing her Phd from IIIT- Delhi. She is a GATE Scholar and UGC-NET qualifier and was also an alumni of the Defense Research Development Organization.

She has completed her major in Data -Science and for the past 4.9 years she is working as a Data Scientist with leading Industries like TCS, Genpact, solving Data science problems in the domains of  finance, health-care and telecommunication use-cases. She has done research work in the field of Machine Learning,NLP,Internet of Things.

Her passion for research helped her to successfully publish five research papers in reputed Journals. Sakshi is also engaged in women and girl Education by interacting with Teach For India Girls. She is also a Start-up Lover and is an active participant of start-up Eve's and involved in organizing them. 

Connect with Sakshi on linkedin

ALT

Please register/login to participate in the contest

Please register to participate in the contest

Please register to participate in the contest

Closed

Support

We use cookies essential for this site to function well. Please click to help us improve its usefulness with additional cookies. Learn about our use of cookies in our Privacy Policy.

Feedback

We believe in making Analytics Vidhya the best experience possible for Data Science enthusiasts. Help us by providing valuable Feedback.