About Me
I'm an aspiring engineer pursuing a Bachelor's degree in Nanotechnology at the University of Waterloo, with a strong passion for data-driven problem-solving and innovation. My multidisciplinary background bridges engineering, programming, and data analysis, allowing me to tackle complex challenges from multiple perspectives.
I have solid experience in data analysis and computational modeling, working with Python, SQL, and tools like Pandas, NumPy, Matplotlib, and Seaborn. While I'm still growing my expertise in machine learning, I have a strong foundation in data-driven problem-solving. Additionally, my technical background includes exposure to engineering software such as COMSOL, AutoCAD, and MATLAB, alongside proficiency in Python, HTML, and CSS.
I'm currently seeking internship opportunities in data, where I can apply and expand my analytical skills while gaining hands-on experience with real-world datasets and data-driven solutions. I'm eager to learn from experienced professionals, deepen my technical expertise, and contribute to innovative projects as I grow into a data-focused role.
Work Experience
Operations Engineer & Technology Intern
JAN 2025 - Present
Second Bind, Toronto, ON
- Streamlined operational systems by implementing AI automations to reduce repetitive tasks and enhance workflows
- Improved process efficiency by identifying bottlenecks and implementing solutions that reduced operational delays
- Increased throughput through strategic process optimization and innovative technological solutions
- Collaborated with cross-functional teams to implement and maintain operational improvements
Data Analyst
JAN 2024 - JUNE 2024
Telus International, Vancouver, BC (Remote)
- Conducted detailed reviews of AI-generated responses with 98% accuracy in protocol adherence
- Enhanced reliability of user-facing responses by identifying and resolving AI output inconsistencies
- Upskilled in SQL, experimenting with database querying and Jupyter Notebooks
Data Engineering Intern
JAN 2023 - APR 2023
AmLive, Toronto, ON (Hybrid)
- Utilized Python libraries for data analysis and visualization across 5 projects
- Designed and implemented a data processing pipeline using MongoDB to streamline data storage and retrieval.
- Developed an ETL process to aggregate music streaming data using SQL and Python, optimizing data organization and analysis..
Technical Projects
Web Development Portfolio
Collection of professional websites and web applications showcasing diverse development skills.