- Location
- Vancouver, British Columbia, Canada
- Bio
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I am a Fourth-Year Electrical Engineering student at the University of British Columbia, passionate about data analysis, electrical and mechanical system design, and sustainable energy solutions. My coursework in Power System Optimization, Mechanical System Design, software engineering and Engineering & Sustainable Development has given me a strong foundation in energy systems and sustainability-focused engineering. As an Electrical Engineering Co-op at Prism Engineering, I analyze energy data from BC Hydro, perform electrical load calculations, and design electrical systems for residential and commercial buildings. I also develop interactive dashboards in Power BI to help clients better understand their energy usage and make informed decisions. Previously, as the Electrical Team Lead at UBC Mars Colony, I led a team in developing control systems and optimizing energy efficiency for a fuel plant project. I thrive in collaborative environments where I can use data-driven insights to solve real-world engineering challenges. I am seeking opportunities in engineering, data analytics, and sustainability-driven projects, where I can apply my technical skills, problem-solving abilities, and passion for innovation to create efficient and impactful solutions.
- Resume
- Resume Nafeesa Nawar.pdf
- Portals
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Vancouver, British Columbia, Canada
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- Categories
- Data analysis Data visualization Electrical engineering Machine learning Networking
Skills
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Achievements
Latest feedback
Recent projects
Work experience
Electrical Engineering Co-op
Prism Engineering
Vancouver, British Columbia, Canada
September 2024 - Current
- Developed interactive dashboards in Power BI to visualize energy usage and savings data, improving report clarity for both technical and non-technical clients, increasing report delivery speed by 20%, and achieving 100% client satisfaction
- Worked with BC Hydro to analyze energy data and conduct electrical capacity analysis for over 40 residential sites, delivering electrical planning reports to BC Strata with recommendations for energy savings, sustainability improvements, and renewable energy integration
- Designed electrical systems for residential and commercial buildings using AutoCAD, ensuring they met the buildingβs existing electrical capacity and future demand requirements for safe and efficient power distribution
- Conducted technical reviews of existing and proposed product and service specifications, energy studies and audits for electric vehicle (EV) charging systems, photovoltaic (PV) systems, control systems and devices to study and verify energy savings claims
Electrical Team Lead
UBC Mars Colony
Vancouver, British Columbia, Canada
September 2023 - September 2024
- Lead a team of 15 electrical engineers to design and test control system circuits for the Sabatier fuel plant project, implementing precise temperature regulation and gas flow control strategies for accurate data acquisition
- Applied data visualization techniques using Python (Matplotlib, Pandas) and MATLAB to analyze power consumption trends, identifying inefficiencies that led to a 10% improvement in system energy efficiency by optimizing electrical-mechanical integration
- Designed and implemented PCBs using Altium Designer, ensuring correct power regulation and current flow through iterative testing and refinement
Education
Bachelors, Electrical Engineering
The University of British Columbia
September 2020 - April 2026
Personal projects
Laser Animation Robot
January 2024 - April 2024
- Designed the mechanical system of a laser animation robot using SolidWorks, incorporating precision-controlled motors and strategically positioned mirrors to ensure accurate mechanical alignment and stability for optimal image formation
- Implemented real-time control algorithms and PID controllers for a laser animation robot using control system theory, enhancing system responsiveness by 15% through advanced feedback mechanisms and PWM controls
- Used ATmega328P micro-controller to enhance animation pattern accuracy to 98% by integrating precise state machine workflows