Osama Elfar

Osama Elfar Email and Phone Number

Piping Stress Analyst - Technical Lead @ Next Structural Integrity Inc.
Burlington, ON, CA
Osama Elfar's Location
Burlington, Ontario, Canada, Canada
About Osama Elfar

As a mechanical engineer with experience using finite element analysis (FEA) to analyze mechanical systems, I am passionate about leveraging my knowledge of engineering principles and data science to develop innovative solutions. Inspired by the outstanding role of data in investigating, understanding, and solving problems, I have also developed a strong interest in data science and machine learning methods for analyzing large-scale data. Through my academic research, I have gained expertise in statistics, data analysis, modeling, and machine learning methods using various state-of-the-art tools and libraries.I am a fast self-learner and always eager to stay up-to-date with the latest advancements in both mechanical engineering and data science. I am excited to apply my knowledge to new roles and state-of-the-art technologies, and I am confident that my background in both mechanical engineering and data science will enable me to make valuable contributions to any team or project.

Osama Elfar's Current Company Details
Next Structural Integrity Inc.

Next Structural Integrity Inc.

View
Piping Stress Analyst - Technical Lead
Burlington, ON, CA
Website:
nextsi.ca
Employees:
73
Osama Elfar Work Experience Details
  • Next Structural Integrity Inc.
    Piping Stress Analyst - Technical Lead
    Next Structural Integrity Inc.
    Burlington, On, Ca
  • Next Structural Integrity Inc.
    Stress Analyst
    Next Structural Integrity Inc. Jun 2023 - Present
    Burlington, Ontario, Canada
    • Conducted comprehensive piping stress analysis for various projects at Bruce Power Stations, utilizing PipeStress and Caesar II software to ensure compliance with ASME Section III and ASME B31.1 codes, contributing to the structural integrity of piping systems and successfully resolving stress-related issues.• Engaged in detailed assessment and analysis of class 3 and class 6 piping systems for the Heavy Water Detritiation Facility Systems project with the Canadian Nuclear Laboratory (CNL) to ensure compliance with ASME Section III and ASME B31.1 codes.• Collaborated with cross-functional teams to provide critical insights and recommendations for optimizing piping design and mitigating potential stress points in nuclear facilities.• Demonstrated proficiency in identifying and addressing challenges related to piping stress, enhancing the overall reliability and safety of nuclear power infrastructure.
  • National Research Council Canada / Conseil National De Recherches Canada
    Visiting Researcher
    National Research Council Canada / Conseil National De Recherches Canada Jan 2023 - Jun 2023
    Montreal, Quebec, Canada
    • Expertise in advanced tool condition monitoring techniques utilizing real-time data analysis and machine learning strategies for early pre-failure detection.
  • Polytechnique Montréal
    Researcher And Data Scientist
    Polytechnique Montréal Jan 2017 - Jul 2022
    Montreal, Quebec, Canada
    • Developed and executed an ensemble algorithm of logical analysis of data that significantly reduced computational time by 99%, thus enabling its usage in Industry 4.0.• Constructed a dynamic and adaptive model based on logical analysis of data that self-monitors performance metrics and initiates automatic maintenance operations. The model achieved an average classification accuracy of 90% across various industrial data sets.• Implemented a classification machine learning technique with feature engineering mechanism to develop an automated fault detection system for turbofan jet engines. Achieved an average classification accuracy of 96% and provided interpretable decisions that support automated feedback actions.
  • Cairo University
    Graduate Research Assistant
    Cairo University Feb 2010 - Dec 2016
    Egypt
    • Developed a finite element analysis (FEA) model for the friction stir welding process.• Optimized process parameters for friction stir welding of pure aluminum to brass (CuZn30) through extensive experimentation and analysis.• Designed and executed experiments and trials to characterize and optimize friction stir welding processes through data analysis and process parameter adjustments.• Supervised undergraduate students' projects to improve quality and optimize results. • Teaching undergraduate tutorial sections and labs. • Developed course content, problem sets, quizzes, and assignments. • Led students through group and individual sessions on theoretical concepts and practical applications.
  • Zf Associates Co. (Industrial Automation & Weighing Systems)
    Technical Director And Co-Founder
    Zf Associates Co. (Industrial Automation & Weighing Systems) Jul 2009 - Dec 2016
    Egypt
    • Successfully managed and executed smart automation projects to meet technical and quality standards for a variety of industrial partners.• Designed and engineered steel structures for weigh bridges of truck scales, utilizing load capacity analysis.• Expertly designed and implemented innovative automation solutions utilizing smart weighing devices and tools for diverse industrial clients.• Assessed technical specifications and requirements to ensure bid compliance for new projects.• Provide technical guidance and on-site support to construction personnel in interpreting design information, work methods, and constructability based on project requirements.
  • Idaco
    Quality Assurance Quality Control
    Idaco Oct 2008 - May 2009
    Cairo, Egypt
    • Validated automated and semi-automated manufacturing processes of motor vehicle harnesses to ensure compliance with industry standards and quality requirements.• Conducted internal audits and assisted IDACO in meeting quality management requirements for ISO 9001: Quality Management System Standard Certification.• Reviewed and improved IDACO's quality control systems to meet standards and ensure that processes, inputs, products, and services meet the needs of all IDACO's customers.

Osama Elfar Skills

Mathematics Neural Networks Data Pipelines Pandas Scikit Learn Linux Data Science Project Engineering Data Analysis Tensorflow Keras Exploratory Data Analysis Data Analytics Team Management Process Improvement Control Systems Design Deep Learning Statistical Data Analysis Natural Language Processing Matplotlib Data Manipulation Microsoft Office Algorithm Design Programming Pyspark Machine Learning Algorithms Seaborn Streaming Data Big Data Stress Analysis Eda Feature Engineering Numpy Pytorch Sql Python Analytical Skills Ansys Mechanical Fea Software Project Management Ansys Workbench Problem Solving Machine Learning Programming Languages Creative Problem Solving Data Visualization Problem Management Algorithm Development Microsoft Power Bi

Osama Elfar Education Details

Frequently Asked Questions about Osama Elfar

What company does Osama Elfar work for?

Osama Elfar works for Next Structural Integrity Inc.

What is Osama Elfar's role at the current company?

Osama Elfar's current role is Piping Stress Analyst - Technical Lead.

What schools did Osama Elfar attend?

Osama Elfar attended École Polytechnique De Montréal, Cairo University, Cairo University.

What skills is Osama Elfar known for?

Osama Elfar has skills like Mathematics, Neural Networks, Data Pipelines, Pandas, Scikit Learn, Linux, Data Science, Project Engineering, Data Analysis, Tensorflow, Keras, Exploratory Data Analysis.

Not the Osama Elfar you were looking for?

  • Osama ElFar

    Company Owner @ Adla Goods Wholesalers Llc
    Dubai, United Arab Emirates
  • Osama Elfar

    Architecture Director, Concept Designer, Content Creator
    Dallas-Fort Worth Metroplex
    1
    hotmail.com
  • Osama Elfar

    Civil Structural Engineer
    Egypt
  • Osama Elfar

    Cspo | Psm | Mba (Running ) | Product Manager | Focusing On Value & Objectives| X Startup Founder | X-Tech (Developer & Devops ) | Agile | Ux
    Egypt

Free Chrome Extension

Find emails, phones & company data instantly

Find verified emails from LinkedIn profiles
Get direct phone numbers & mobile contacts
Access company data & employee information
Works directly on LinkedIn - no copy/paste needed
Get Chrome Extension - Free

Aero Online

Your AI prospecting assistant

Download 750 million emails and 100 million phone numbers

Access emails and phone numbers of over 750 million business users. Instantly download verified profiles using 20+ filters, including location, job title, company, function, and industry.