Yaman Albezreh

Software Engineer & Data Analyst

Yaman Albezreh

About Me

Education:
Bachelor of Applied Science in Systems Design Engineering, Honours (co-op)
University of Waterloo

I am a passionate engineering student and software developer with experience in Python, C++, React, Next.js, Flask, FastAPI, SQL, Java, and more. I enjoy building data-driven solutions, developing full-stack applications, and working on machine learning projects. My interests include real-time data analysis, automation, and innovative problem-solving.

Technical Skills:
Languages/Frameworks: Python, C++, Java, JavaScript, TypeScript, React, Next.js, Flask, FastAPI, SQL, Pandas, NumPy, Scikit-learn, TensorFlow, OpenCV, PyTorch, Jupyter, Git, AWS, Azure, Linux, Bash
Other: Excel, Power BI, n8n, AutoCAD, SolidWorks, Falstad, Fusion, OnShape, Prompt Engineering

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Yaman Albezreh

Experience

Sales Automation and Engineering Support Intern

MPI Morheat, Toronto, ON | Sep 2025 – Dec 2025

  • Developed full-stack automation tools (React, Flask/FastAPI) reducing repetitive manual steps and minimizing human error, achieving a 40% reduction in manual workload and a 30% decrease in turnaround time.
  • Built shipping-cost models integrating UPS/FedEx APIs, improving cost-estimation accuracy by 25%.
  • Automated sales workflows by integrating CRM and internal databases, creating real-time dashboards, streamlining order approvals, reducing errors, and cutting reporting time by 28%.

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Founder and Developer

FrameDetect, Waterloo, ON | Aug 2025 – Present

  • Developing a computer vision pipeline using Python, OpenCV, NumPy to extract and stitch drone video frames for precision agriculture with modular architecture, automated preprocessing, and scalable deployment workflows.
  • Reduced redundant frames by 45% and improved stitching speed by 35% through algorithmic optimization.
  • Implemented end-to-end data ingestion and preprocessing pipelines, improving model training speed and data quality for ML workflows.

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Operations and Data Analyst

University of Waterloo - Grand River Hospital, Waterloo, ON | Jan 2025 – Apr 2025

  • Created Python tools supporting real-time clinical decision-making using data from 100+ observation shifts.
  • Integrated ML models and optimization logic, lowering forecast error by 16%.
  • Worked extensively with Pandas, NumPy, TensorFlow, Scikit-learn to clean, transform, and analyze datasets.
  • Led agile-style sprint meetings with clinical, IT, and research stakeholders to define software requirements, demo tools, and iterate solutions, ensuring technical solutions closely aligned with user needs.

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Community Strategy & Data Analyst Intern

Waterloo Regional Police Service, Cambridge, ON | Jul 2023 – Aug 2023

  • Analyzed regional traffic-incident datasets using GIS mapping, Excel, and Python to identify high-risk zones and trend patterns across the Waterloo Region.
  • Built heatmaps and dashboards to visualize collision statistics, supporting evidence-based safety planning.
  • Recommended targeted infrastructure changes (e.g., ramps at roundabouts near The Boardwalk), contributing to a 32% reduction in traffic and pedestrian incidents across intervention areas.

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Projects

Get In Touch

Let's Connect

I'm always interested in new opportunities and collaborations.