RESUME
Professional ​
info​​
I wish to be a part of an organization working on
cutting edge technologies and would like to
dedicatedly work in a situation that demands a high
degree of excellence which would enable me to
utilize and enhance my technical and analytical skills.
Skills
Machine Learning
Microsoft Office
Anaconda Navigator
Work​
experience​
Application Developer Intern – Starz Ventures Pvt. Ltd. – 2 Months
Built an educational app wherein students can watch videos from tutors in and around India
Worked on Firebase for dynamic usage of the database in the application
Subject Matter Expert – Pojo Software Technologies Pvt. Ltd. – 2 Months
Worked on Hot Potatoes Software for creating interactive learning content. Completed 45 tasks assigned within the stipulated time
​
Summer Camp Intern - ICAM Lille, France - 1 Month
Got selected to be a part of summer camp at ICAM University, Lille France. I developed
Application Developer Intern – Digital Flora Pvt. Ltd. – 2 Months
Built E-Commerce app modules which is built for farmers and consumers
Worked on Firebase for dynamic usage of database in the application
Languages
HTML/CSS
PHP
C Language​
C++
Python
Education
Degree: Bachelor of Technology
(2017-2021)
University: Loyola ICAM College of Engineering and Technology
CGPA: 8.6
HSC:
(2016-2017)
School: A.V.M Mat. Hr. Sec. School
Score: 95.1%
SSLC:
(2014-2015)
Schoo: A.V.M Mat. Hr. Sec. School
Score: 96.5%
Achievements
-
Got third prize in IFA Hackathon conducted by Maker’s Stribe and won a cash prize of Rs. 5000/- for meat adulteration detector project
-
Got third prize in a National Hackathon conducted by NEC Techgig and won a cash prize of Rs.50000/-
-
Bagged first place in Paper Presentation for the paper titled “Early Diagnosis Of Rheumatoid Arthritis Using Machine Learning And Computer Vision” at GRAIT National Level Technical Symposium
-
Bagged first place in Paper Presentation for the paper titled “Early Diagnosis Of Rheumatoid Arthritis Using Machine Learning And Computer Vision” at ABHIGYAN National Level Technical Symposium
-
First place in paper presentation at Spangles’ 19 National level technical Symposium in Easwari Engineering College for the paper title “Detection Of Food Adulteration Using Machine Learning”.
-
Second place in GRAIT’18 LICET SYMPOSIUM for the paper titled ““Detection Of Food Adulteration Using Machine Learning”.
-
Department topper in the year 2017-2018
Projects
Food adulteration Detector:
A python-based back-end working model is used to detect the presence of adulterants in fruits and vegetables using the concepts of machine learning and OpenCV
​
​
Rheumatoid Arthritis Detector:
A python-based working model which is used to detect the presence of RA factors in blood test image using TensorFlow and predicting the presence of the disease using the KNN algorithm
​
​
Meat Adulteration Detector:
A python based application using KIVY and back-end with Tensorflow – Keras and CNN libraries to detect Mutton adulteration
​
Carnatic Musical Note Detector:
Built a machine learning model using audio segmentation and audio processing. This model helps to detect and display the Carnatic notes of the musical tune given as input.
​