Varun Sirpal is an undergraduate student studying electrical engineering at Delhi Technological University. He has experience developing cyber attack models for cryptographic algorithms as an intern at DRDO. He also has experience with front-end web development as an intern at HRDC, DTU. His technical skills include programming languages like C++, Python, and frameworks like OpenCV, scikit-learn. He has done projects in areas like image segmentation, movie review classification, and face recognition.

1. Varun Sirpal
varunsirpal10@gmail.com 9650686102 linkedin.com/in/varun-sirpal-59b35a172 github.com/varun-sirpal10
EDUCATION
2018 – Present
B.Tech. (Electrical Engineering)
Delhi Technological University
GPA - 8.50 (till 2nd Semester)
2016 – 2018
Class 12 (CBSE)
Ahlcon Public School
Percentage - 95.6%
2004 – 2016
Class 10 (CBSE)
Cambridge School, Noida
GPA - 10
WORK EXPERIENCE
06/2019 – 07/2019
Technical Intern
Defence Research and Development
Organization (DRDO)
Developing a cyber-attack model for correlation power side
channel attack on cryptographic algorithm TEA under the
Scientific Analysis Group (SAG), DRDO.
Developed a C++ program for encryption and decryption of
cryptographic algorithm TEA.
Link: https://github.com/varun-sirpal10/DRDO_Intern
04/2019 – 07/2019
Web Development Intern
Human Resource Development Centre, DTU
Front-end development of the HRDC Website using
JavaScript and CSS.
Link : https://varun-sirpal10.github.io.
ORGANIZATIONS
IEEE - DTU (08/2018 – Present)
Organized INVICTUS 2019, the annual technological fest of DTU.
Involved in open-source projects related to Python and Machine
Learning.
DelTech MUN and Debating Society (09/2018 – Present)
Avidly took part in Model United Nations (MUN) conferences. Attended
20 conferences till date. Won 4 Best Delegate awards and 3 High
Commendation awards.
SKILLS
C++ Python Data Visualisation OpenCV
K-Means Clustering Natural Language Processing
NumPy scikit-learn Probability HTML CSS
SQL Git Pandas NLTK
PROJECTS
IMAGE SEGMENTATION (08/2019)
An application which extracts the dominant colors in images and
segments it; built using K-Means Clustering Algorithm, scikit-learn
and matplotlib.
Link: https://github.com/varun-sirpal10/dominant-colors
MOVIE REVIEW CLASSIFICATION (07/2019)
An application which predicts the nature (positive/negative) of
movie reviews built using NLTK, scikit-learn and uses a Multinomial
Naive Bayes Classifier.
Link: https://github.com/varun-sirpal10/movie-review-classification
FACE RECOGNITION (06/2019)
A utility application for face detection and recognition built using K-
Nearest Neighbours Algorithm, OpenCV, HaarCascade Classifier
and Python.
Link: https://github.com/varun-sirpal10/face-recognition-knn
MULTIPLEX THEATRE BOOKING SYSTEM (12/2018)
A C++ based application using File Handling which automates the
reservation of tickets and enquires about the availability of the
tickets.
It saves in a database of all the back-end functionalities such as
movie details, ticket rates, show time, customer information and
sales history in the form of binary files.
Link: https://github.com/varun-sirpal10/movie-booking
CERTIFICATIONS
Python Data Structures by University of Michigan
through Coursera
https://www.coursera.org/account/accomplishments/verify/7ST8MWUA
GV6S
Cyber-Attack Countermeasures by New York University
through Coursera
https://www.coursera.org/account/accomplishments/verify/2VC9UHTHR
6BV
Getting Started with Python by University of Michigan
through Coursera
https://www.coursera.org/account/accomplishments/verify/5FUV59MN
HNX5