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

Technology

No. of Subscribers

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

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

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

What you’ll need before starting

Basics of R and Natural Language Processing