RESUME

Name : Varsha Hiraman Saindane

Email : adof7l@r.postjobfree.com Mob.No. : 823-***-****

Linkedin ID : https://www.linkedin.com/in/varsha-saindane-12b253194

CAREER OBJECTIVE

My current aim is to mould my engineering knowledge into fruitful work done for an organization where I can utilize and develop my technical skills and emerge a better person as a whole.

QUALIFICATION SUMMARY

Qualification

College/Institute

Board /

University

Year

Aggregate

CGPA

Bachelor’s Degree

Bharati Vidyapeeth’s College of Engineering for Women, Katraj, Pune-43.

SPPU,

Pune

2021

69.79%

7.81/10

Diploma

Bharati Vidyapeeth’s Jawaharlal Nehru Institute Of Technology, Katraj, Pune -43.

MSBTE,

Mumbai

2018

77.24%

SSC

Priyadarshini Madhyamik

Vidyamandir, Pune.

Pune

2015

85.80%

TRAINING AND INTERNSHIPS

Zensar Employability Skills Development : Topics covered by Zensar ESD training program were soft skills, hard skills, python programming, software testing, aptitude preparation.

Galaxy Technovations LLP: I have learned PCB design, circuit soldering, PCB testing in this internship.

Campus manager in Perfect skills: I have learned presentation skills, article writing, poster making, graphics designing, communication skills, team working.

ACHIEVEMENTS

Awarded for excellence and 1st rank in 1st year of diploma.

Secured 3rd rank in Pimpri Chinchwad Polytechnic, Pune in paper presentation.

Passed Elementary and Intermediate drawing grade exams.

Passed 3 exams of classical singing.

TECHNICAL SKILLS

Programming languages: C, C++, Core Java.

Operating system: Windows 7, Windows 10, Linux(Ubuntu).

Software testing

ACADEMIC PROJECT

Engineering Final Year Project: “Anti-theft security system using face recognition ".

To provide security to our house IOT based face recognition can be implemented using Rsapberry Pi 3 model B+. A standard USB web camera to capture the image to identify the visitor. It’s a method that identifies the visitor. If the face of visitor is recognized, it will greet them by name and the door will be open. If they are not identified door will remain locked. The system will perform detection and recognition rapidly in real time when face in front of camera.

Contact this candidate