PARTH PATEL
VANCOUVER, BC V3W0M3 | parthjpatel9199@gmail.com | +1 (236) 869-5045 | LinkedIn | GitHub
EDUCATION
NORTHEASTERN UNIVERSITY
Master of Science, Computer Science
CHAROTAR UNIVERSITY OF SCIENCE AND TECHNOLOG
Bachelor of Technology, Computer Engineering
SEPTEMBER 2023
JULY 2017-MAY 2021
CGPA - 9.01/10.00
TECHNICAL SKILLS
Languages: Python, SQL, C++, HTML, Java, C, CSS, JavaScrip
Database Technologies: Firebase Realtime Database, MongoDB, MySQ
Cloud Technologies: AWS EC2, AWS Lambda, AWS S
Python Libraries: Sklearn, Pandas, NumPy, Matplotlib, TensorFlow, Keras, Beautiful Soup, Seabor
Platforms and Tools: Visual Studio Code, Jupyter Notebook, Lucid chart, Eclipse, Cisco Packet Tracer, PyChar
Version Control: GIT
WORK EXPERIENCE
ICLERISY, AHMEDABAD, INDIA
JANUARY 2021-MAY 2021
SOFTWARE ENGINEER INTERN
• Developed a React Native application for Best Choice Products, a company based in California
• Implemented with shopify backend along with React Native AsyncStorage to improve user experience over
company’s website by 40%
FINALYTICS COMMERCIAL TECHNOLOGIES, MUMBAI, INDIA
APRIL 2020-AUGUST 2020
SOFTWARE ENGINEER INTERN
• Implemented complete backend API for a react native movie quiz game based on IMDB using Python Flask with
90% code coverage as a team of 3 developers
• Created database for application in MySQL along with web-scrapping IMDB website; utilized AWS Lambda &
AWS RDS in order to make serverless backend
BITSCAPE INFOTECH PVT. LTD, AHMEDABAD, INDIA.
MAY 2019-JUNE 2019
QUALITY ASSURANCE INTERN
• Acquired complete knowledge of Software testing life cycle (STLC); designed and executed test cases for
functional testing, integration testing, regression testing for on going software development in Python
PUBLICATIONS
QUESTION ANSWERING CHATBOT USING MEMORY NETWORKS
RESEARCH CHAPTE
2021
Published
in
handbook
of
Research
on
Applied
Data
Science
and
Arti
cial
Intelligence
in
Business
and
Industry
•
by IGI Global (DOI:10.4018/978-1-7998-6985-6.ch019) [LINK]
PROJECTS
FISH CLASSIFIER
SEPTEMBER-2020
Developed
sh
image
classi
er
to
detect
illegal
shing
in
ocean
with
an
accuracy
of
96.38%
for Resnet34
•
model
QUESTION ANSWERING CHATBOT
JANUARY-2020
Generated
memory
networks
model
on
SQuAD
database
with
a
accuracy
of
94.21%
•
• Tested state of art neural network on conversational ow, understanding work ow, and conversational steps with
an accuracy of 89.63%
WORD POWER MADE EASY
SEPTEMBER-2019
Developed
a
Flutter
mobile
application
for
Word
Power
Made
Easy
book
by
Norman
Lewis,
used by over 10
•
million students giving competitive exams to enhance vocabulary; Collaborating with a team of 5 accomplished
project in under 4 months
AUTOMATIC PET FEEDER
DECEMBER-2018
Facilitated
collaborative
relationships
among
4
team
members,
making
a
pet
feeding
system
using
Arduino and
•
RTM allowing user to set time for automated pet feeding; recommended a change in hardware for reducing it's
cost by 20%
HONORS AND AWARDS
• 2nd Prize in poster presentation at Computer Society of India RSC’20 for paper on smart irrigation system with
addition of data mining in same project
• Awarded merchandise from Google for developing a trivia game for Google Assistant
INVOLVEMENT
m
n
fl
L
fi
fi
t
Y
3
fl
fi
fi
R
fi
• Presented Comparative analysis of Question / Answering systems poster involving concepts of NLP, SQuAD and
memory networks at Computer Society of India RSC’20
• Writing a blog to impart knowledge to people starting their journey in machine learning. Blog crossed 150,000
viewers in over a year
• Completed Red Hat System Administrator 1 and 2 with complete certi cation in September-2019