Junior Data Analyst
Amazon Development Centre
Total years of experience :3 years, 4 Months
Complete 3.4 Years)
Role at Amazon: Part of Data Science and CRM team of Amazon
• Mission is to help Amazon Cash & Carry countries effectively utilize their
marketing budget and increase return on investment
• Work involves developing Data Science models such as customer lifecycle
models, campaign optimization models, customer acquisition models etc
Project: “Customer Acquisition Model for Amazon.ca”; a predictive model to
predict the likelihood of prospects turning into customers.
Team size: 2
Project: “Predict Responses to a Marketing Offer”; It shows how to identify
potential customers for a targeted marketing campaign.
Team size: 5
Other Data Science Projects
Titanic: Machine Learning from Disaster
Source: Kaggle.com
The Interview Attendance
Predict which candidates
will attend the interview.
Training/Workshops Conducted
Conducted a 14-hoursworkshop on “Data Science using R programming”at
Amrutvahini College of Engineering for B.E 4th
year batch, Sangamner,
Maharashtra.
Project: “Airline Departure Delay Prediction” The aim of this project is to
use large historical datasets to make predictions about the punctuality of
future flights far in advance, e.g. for a customer in the process of purchasing
tickets for a future flight; Team size: 4
Machine Learning Predictive modeling: Linear regression, Logistic regression, K-NN, Decision
tree, Random forest, Naïve Bayes’, Support vector machine, Neural
networks: Perceptron, Multi-layer perceptron
• Clustering: K-means, Hierarchical
• Dimension reduction techniques: PCA
• Data visualization and manipulation packages: ggplot2, dplyr, tidyr,
stringr etc.
• Distributed computing: MapReduce, exposure to Apache Spark with Scala
and Python
Programming R, Python, C
Database SQL, PostgreSQL
Project: “Seasonal Customer Pattern Identification”; a clustering based
predictive model to identify the seasonality among the customer visits; Team
size: 3