Priya Deo CV

Full Stack Developer

9075669607 priyasanketdeo@gmail.com https://github.com/PriyaSDeo https://www.linkedin.com/in/priya-deo https://www.hackerrank.com/priyasanketdeo https://leetcode.com/u/priyasanketdeo

Education
Qualification	College	Year Of Passing	Grade/ Percentage
Masters in Industrial Mathematics with Computer Application	Fergusson College	2020	9.8 CGPA
Bachelor in Mathematics	Fergusson College	2017	82.1%
HSC	VP college Baramati	2014	78%
SSC	SNVS High School	2012	91%

work experience

1. Company: Hummingbird Web Solutions Pvt Ltd Designation: Software Developer Duration: December 2021 to February 2024

Experience in Magento and Drupal.
Worked on different languages like JavaScript, Php, Html, CSS, Tailwind, react and Material UI.
Worked on various projects and interacted with clients for project requirements.

2. College: Shardabai Pawar College Baramati Designation: Assistant Professor (Mathematics and Computer Science) Duration: October 2020 to December 2021

Experience in teaching Mathematics for Graduate students.
Participated in Co-curriculum and Extra-curriculum Activities and collaborate with other colleges.
With problem solving and analytical skills helped students to build mathematical models.

3. Institute: Debugs Bunny Online Coding Institute Designation: Coding Teacher Duration: July 2020 to January 2021 Subjects: Python, Java script, HTML, CSS

Experience in teaching coding and programming to students from standard 6th to 12th
Worked on platform like Thunkable to teach HTML and Java script
Took online classes for students all over India.
Good at handling Students of all age group.

Internship

Company: BluePineapple Pvt Ltd Role: Intern (December 2019 to June 2020)

Developed a Mobile Application name Apex for an Institute.
Worked on React Native for front end and node JS for backend during the time period.
Learnt basics of salesforce.

Project

Title: Attendance Management by Face Recognition Client: For any class in school College.

This is our attempt to make a Face recognition system for classroom or office attendance. The system is based on a special type of CNN architecture known as a Siamese network. Such a network is trained to generate a very accurate and almost unique 128 vector given that the images of face which are fed to the network and are properly aligned and cropped. Then another dense neural network is trained taking input these embeddings. The second neural network is only for classification purposes. Then the person who is identified by the system, his/her attendance in the system is marked. When the system is closed, a excel file consisting of attendance of all the students is generated.

Technical Skills

Java