Nimisha Mishra

Toronto

Summary

A recent graduate with a Master's degree in Electrical Engineering, eager to apply the knowledge and research experience to contribute to a dynamic organization in the field of electrical engineering. Skilled multitasker with superior work ethic and good teamwork, problem-solving and organizational skills. Willing to take on any task to help team. Reliable and dedicated team player with hardworking, resourceful approach and also adept at conveying complex ideas clearly. Dependable and passionate job seeker with strong organizational skills keen to secure entry-level position.

Overview

Certification

Work History

Intern

L&T

05.2020 - 08.2020

Collaborated with a skilled team, gaining hands-on experience in electrical schematic design and the development of electrical systems for large-scale projects.
Exposure to the entire project lifecycle and worked closely with engineers and drafters to exceed client expectations.
Enhanced intern productivity by assisting with project coordination and providing ongoing support.
Prepared comprehensive reports summarizing data analysis findings, informing key decision-makers of important trends and patterns.
Streamlined office processes for improved efficiency and time management through regular organization and filing.

Education

MEng. Electrical & Computer Engineering -

University of Ontario Institute of Technology

Oshawa, ON

12.2023

Bachelor - Electrical Enginnering

Gujarat Technological University

Gujarat, India

08.2021

Skills

Goal-oriented
Teamwork
Analytical
Conscientious
MATLAB

AutoCAD
Python Programming
Multisim
MS Office
Datacamp

Websites

www.linkedin.com/in/nimisha-mishra-966690221

Certification

Certified Python programmer
L&T Power Training Institute
Energy Conservation Awareness Workshop

Projects

7-Level Cascaded H-Bridge Inverter with Stage Variation: Conducted research on PWM techniques for level shifting and subsequently introduced a novel PWM approach aimed at reducing the number of necessary carrier signals.

Multi-Person Tracking(MPT) System: Integrated Multi-Person Tracking with the utilization of YOLOv7for person detection, StrongSORT for person tracking, OSNet for person re-identification, and ResNet50 as the backbone architecture for feature extraction,which results in an efficient system that can be used in real-time applications. This comprehensive approach allows for the assignment of unique IDs to individuals in real-time camera feeds, enabling continuous tracking of people in complex scenarios.

Timeline