Data Science
Improve customer experience by analyzing product reviews of e-commerce website
Did you think data science is just numbers? Nuh-uh. What about all the data found in form of reviews and queries! Use Natural Language Programming in R to complete this menternship.
Certified by
Role
Data Scientist
Industry
E-commerce
Menterns at work
8
Level
Advanced
Time Commitment
Submit First Draft in 30 days
Duration
60 days
Tools you’ll learn
Here’s What You Work On
About the Company
Snapdeal is building India's most reliable and frictionless commerce ecosystem. It currently operates across more than 6000 cities and partners with 300000 sellers for selling 60 million + products. The data Science team at Snapdeal is taking on the ambitious project of building a platform that empowers the future generation of creators to be successful online.
Explore
the following work techniques
R studio
Exploratory Data Analysis
Learn more about our Menternship Principle
Bridging the gap
When you go to purchase an item online - what is the first thing that you do? Check out product ratings and reviews! Reviews are all the more important for the category of womenswear as they provide customers vital information about quality and fit that a customer couldn't have ascertained from pictures alone. Womenswear holds as large as 50% of e-commerce market share and its volume is only growing every year. The e-commerce website that can deliver the highest value for money to their customers womenswear would definitely have an edge in this industry that's brimming with both multi-national and hyperlocal competition.
Apply
the following skills
Data Analysis
Data preparation
Hypothesis testing
Learn more about our Menternship Principle
Expected output
In this menternship, you will be challenged to build a natural language processing model using Sentiment Analysis in R to identify the pain points of customers purchasing goods within the womenswear category. You will work with a dataset of product reviews from an e-commerce website.
Create
the following deliverables
NLP-based EDA on the given dataset
Recommendations for improving customer experience in e-commerce
Learn more about our Menternship Principle
What you’ll need before starting
Basics of R and Natural Language Processing
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It was amazing! I learnt so many things like creating engagement on social media platforms. The 1:1 with mentors were super helpful. I learnt how to create Instagram ads, identify goals & do competitor analysis- so many things.
There was a lot of interactive sessions with Mentors. The Menternship I completed gave me a new perspective to how work has to be done. I truly enjoyed working with real figures & actual industry case studies. 
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Improve customer experience by analyzing product reviews of e-commerce website
Did you think data science is just numbers? Nuh-uh. What about all the data found in form of reviews and queries! Use Natural Language Programming in R to complete this menternship.
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Ask Questions in our Biweekly AMA
Resolve all doubts on Mentor Support Chatbox
Get Actionable Mentor Feedback on your work
Learn & Network at the exclusive Mentern Perks Club