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Groupon Internship Review
Rajesh Kumar
(Student Id: 15200765)
Data Analytics Intern
Groupon’s Journey:
Groupon Global
2016, 10000+
Groupon, IPO
2011
Groupon
2009, 350+
Groupon
2008
Amazing Facts:
1. Groupon was the biggest internet
company IPO since Google in
2004.
1. Not just an e-Commerce, it involved
more in Engineering in Dublin office
as compare to Google office in
Dublin.
1. Apart from its business it has lot of
Patents as well.
(Link: http://stks.freshpatents.com/Groupon-Inc-nm1.php)
4. Perfect balance of WORK + FUN
Team:
My Journey in Groupon so far:
1. Week 1:
a. Desk setup, Laptop setup, Account access to several tools
1. Week 2-3:
a. Understanding of the database, tables, data flows. (with Nat’s team)
1. Week 4-7:
a. Involved in Superfunnel Project to analyse the Traffic data. (with John)
b. Specifically working on Marketing Attribution.
Technical Tools:
Future Plans:
1. To build Intelligent Data Quality Predictive Model using Machine Learning for
customers.
1. Also want to work in Data engineering support tools to look the data quality at the time
of data migration from one Datacenter to another.
1. So, basically I want to involve more into Data Science stuff like analysing customer
behaviour and building data models.
9
Thank You!

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Internship review presentation at Groupon

  • 1. Groupon Internship Review Rajesh Kumar (Student Id: 15200765) Data Analytics Intern
  • 2. Groupon’s Journey: Groupon Global 2016, 10000+ Groupon, IPO 2011 Groupon 2009, 350+ Groupon 2008
  • 3. Amazing Facts: 1. Groupon was the biggest internet company IPO since Google in 2004. 1. Not just an e-Commerce, it involved more in Engineering in Dublin office as compare to Google office in Dublin. 1. Apart from its business it has lot of Patents as well. (Link: http://stks.freshpatents.com/Groupon-Inc-nm1.php)
  • 4. 4. Perfect balance of WORK + FUN
  • 6. My Journey in Groupon so far: 1. Week 1: a. Desk setup, Laptop setup, Account access to several tools 1. Week 2-3: a. Understanding of the database, tables, data flows. (with Nat’s team) 1. Week 4-7: a. Involved in Superfunnel Project to analyse the Traffic data. (with John) b. Specifically working on Marketing Attribution.
  • 8. Future Plans: 1. To build Intelligent Data Quality Predictive Model using Machine Learning for customers. 1. Also want to work in Data engineering support tools to look the data quality at the time of data migration from one Datacenter to another. 1. So, basically I want to involve more into Data Science stuff like analysing customer behaviour and building data models.