Amirreza Rezvantalab Email & Phone Number

Moncton, Nb, Ca

Moncton, New Brunswick, Canada

- Led the end-to-end development and deployment of a Condition-Based Maintenance (CBM) solution on Azure, encompassing data gathering, ETL processes for data storing and preprocessing, model development, validation, and dashboard creation consisting of actionable insights for factory super users.- Managed and guided a team of data scientists and data engineers in designing data pipelines and algorithms for anomaly detection and equipment health monitoring.- Communicated insights and recommendations to stakeholders using Power BI dashboard, data visualizations, reports, and presentations.- Maintained and optimized Azure-based data pipelines, workflows, and ETL processes for efficient data ingestion, storage, and analysis.- Collaborated with cross-functional teams (maintenance managers, reliability engineers, domain experts) to understand business requirements and define project objectives.- Developed scalable and robust solutions for real-time monitoring and analysis of equipment health using vibration sensor data.- Leveraged technologies such as Python, Azure DevOps, Azure Synapse, and Azure Functions to optimize system performance and ensure reliability.

Toronto, Canada Area

Computations in Genetic Engineering, Software REQs and Analysis and SPEC, Digital Systems, Electric Networks– Responsible for grading assignments, class participation, and exams.– Providing assistance to professor and students in laboratory exercises and laboratory experiments.– Corresponded daily with students via email.

Toronto, Canada Area

• Developed an interpretable CNN pipeline to recognize metastatic tissues in breast pathology images (PCam dataset).• Implemented deep learning methods such as Vision Transformers (ViTs) and Convolutional Neural Networks (CNN) to recognize patients with Alzheimer’s disease from neuroimaging data.• Designed a data pipeline to efficiently read patients images and metadata from various tables and store them into a single sheet.• Extracted distinctive features and biomarkers from patients images using Local Binary Patterns (LBP) and GLCM algorithms.

Master Of Engineering - Meng, Biomedical/Medical Engineering

Master Of Science (Msc), Artificial Intelligence, Gpa : 19.32 (A+)

Bachelor Of Science (Bsc), Computer Science, Gpa : 3.3 For The Last 2 Years