Nikhil Agrawal is a machine learning engineer currently pursuing his Bachelor of Technology degree from Guru Nanak Dev Engineering College. He has work experience as a data analyst intern at Untravel and as a data science intern at CSIR-CDRI. His skills include Python, machine learning, deep learning, NLP, Java, AWS, SQL and data structures and algorithms. He has completed personal projects in areas such as predicting New York City cab numbers, loan defaults, Stack Overflow tag prediction, employee churn, and apparel recommendation.

1. Nikhil Agrawal
Machine Learning Engineer
A Smart and Competitive person ready to take
responsibilities in life
nikhilagrawal328@gmail.com
9803690933
nikhilagrawal328.github.io/nikhil.github.io/
linkedin.com/in/nikhil-agrawal-40471110b
github.com/nikhilagrawal328
EDUCATION
08/2015 – Present
Bachelor of Technology - BTech
Guru Nanak Dev Engineering College
CGPA - 8
WORK EXPERIENCE
07/2018 – 11/2018
Data Analyst Intern
Untravel
Gurgaon
Automate their weekly and monthly emailers by building a
recommendation system on their travel products.
Perform Data Analysis on sales data and presented a report
on weekly basis.
03/2018 – 05/2018
Data Science Intern
CSIR- CDRI
Work From Home
Collect data for the venture capitalist who provides grants to
the companies in USA from wikipedia, crunchbase etc.
Analyze the funding for each of the category and finally
presented a report on it.
07/2017 – 08/2017
Project Intern
Garima Software Solutions
Hyderabad
Build a web application that store all the users related data
like academic details, account no, mobile no etc.
Users can able to modify or add new details through his
login-id and password.
SKILLS
Python Machine Learning Deep Learning NLP
Data Structure & Algorithms Java AWS SQL
PERSONAL PROJECTS
Predicting the number of cabs in each region of new
york city
New york city taxi dataset is pre-processed, analyzed, clustered into
regions and a machine learning regression model is built to predict
the number of cabs in each region of new york city.
Loan Prediction Problem
Bank customer dataset is pre-processed, analyzed and machine
learning regression model is built to predict the probability that the
customer will default.
Stack Overflow Tag Prediction
Perform basic EDA and text pre-processing and finally build a
logistic regression with one vs rest classifier model to predict the
tags for each of the question posted on stack overflow site.
Predicting Employee Churn
Employee dataset is analyzed and balanced using oversampling and
then build a machine learning GBDT model to predict which
employee will leave the company.
Apparel Recommendation
Build a recommendation system that will recommend the most
similar apparel to the given/queried apparel.
RELEVANT COURSEWORK
Data Structure and Algorithms
Machine Learning
Natural Language Processing
Big Data and Analysis
INTERESTS
Gaming Comedy Cricket Books
Achievements/Tasks
Achievements/Tasks
Achievements/Tasks