Hosna Geraei
Hamilton,Canada
Summary
Dynamic Development Engineer with a proven track record at EECOMOBILITY, adept at building scalable ETL pipelines and Azure data infrastructures. Skilled in Python and SQL, I excel in predictive analytics and anomaly detection, driving impactful data solutions. A collaborative team player, I thrive in fast-paced environments, ensuring data quality and automation.
Overview
6
6
years of professional experience
1
1
Certification
Work History
Development Engineer
EECOMOBILITY
Hamilton, Ontario
05.2022 - Current
- Developed scalable ETL data pipelines for industrial fault detection using Python and SQL
- Built and maintained Azure-based data infrastructure, including Azure SQL Database, Blob Storage, and Data Factory
- Automated data ingestion and ensured data quality across structured and semi-structured datasets
- Created CI/CD workflows using GitHub Actions for streamlined deployment and monitoring
- Applied machine learning models for predictive maintenance and anomaly detection
Research Assistant
McMaster University
Hamilton, Ontario
10.2019 - 09.2020
- Managed data acquisition and preprocessing for Ford 5.0L Coyote Engine fault detection project
- Applied SQL and Python to clean, structure, and analyze large-scale sensor data
- Performed data fusion and multivariate analysis to support decision-making
Education
Ph.D. - Mechanical Engineering
McMaster University
Hamilton, ON10.2024
M.Sc. - Mechanical Engineering
Sharif University of Technology
Tehran, Iran05.2018
B.Sc. - Mechanical Engineering
Amirkabir University of Technology
Tehran, Iran08.2015
Skills
- Azure SQL Database
- Azure Blob Storage
- Azure Data Factory
- ETL/ELT Pipelines
- Data Modeling
- GitHub Actions (CI/CD)
- Python
- Pandas
- NumPy
- Scikit-learn
- SQL
- MySQL
- PostgreSQL
- MATLAB
- C
- Docker
- Matplotlib
- Seaborn
- Predictive Analytics
- Anomaly Detection
- Signal Processing
- FFT
- STFT
- TensorFlow
- PyTorch
Affiliations
- Reviewer, EasyChair, 2023
- Member, Women in Science and Engineering (WISE)
Certification
- Azure Data Engineer Certification, In Progress
- Sequence Models – DeepLearning.AI, 2022
- Convolutional Neural Networks – DeepLearning.AI, 2021
- Deep Learning with PyTorch: AutoEncoder – Coursera, 2021
- Neural Networks and Deep Learning – DeepLearning.AI, 2021
- Deep Learning Specialization – DeepLearning.AI, 2021
- Structuring Machine Learning Projects – DeepLearning.AI, 2021
- Machine Learning – Stanford University, 2020
- Introduction to Project Management – PMI, 2021
Additional Information
Open to Hybrid Roles, Toronto, ON
Project Highlights
- Designed high-performance ETL pipelines for sensor data using Azure Data Factory.
- Built a real-time cloud-based fault detection system for industrial machinery.
- Integrated SQL-based automated data ingestion for seamless Azure migration.
Publications Patents And Awards
- U.S. Patent (Pending), Fault Detection and Diagnosis Using Data-Driven Models
- Best Thesis Award, Sharif University of Technology, 2018
- Best Oral Presentation, CREST Conference, 2024
- Future Leader Award, McMaster Engineering, 2023
- "A Noise Invariant Method for Bearing Fault Detection and Diagnosis", IEEE Access, 2024
- "Solutions for Domain Shift in Electric Motor Bearing Fault Detection", IEEE Access, 2024
- "Machine Learning-Based Fault Detection and Diagnosis of Internal Combustion Engines", ASME ICE Forward Conference, 2022
Skills And Technologies
Azure SQL Database, Azure Blob Storage, Azure Data Factory, ETL/ELT Pipelines, Data Modeling, GitHub Actions (CI/CD), Python (Pandas, NumPy, Scikit-learn), SQL (MySQL, PostgreSQL, Azure SQL), MATLAB, C++, Docker, Matplotlib, Seaborn, Predictive Analytics, Anomaly Detection, Signal Processing (FFT, STFT), TensorFlow, PyTorch
Timeline
Development Engineer
EECOMOBILITY
05.2022 - Current
Research Assistant
McMaster University
10.2019 - 09.2020
Ph.D. - Mechanical Engineering
McMaster University
M.Sc. - Mechanical Engineering
Sharif University of Technology
B.Sc. - Mechanical Engineering
Amirkabir University of Technology
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