• Industry Experience: Airbus | Mechanical Engineer Intern Pishgam Daghigh Sazan (PDS) | Mechanical Engineer Intern Bidboland 1 – Gas Processing | Mechanical Engineer Intern
• Solid background in Mechanical Engineering: MSc & BSc, Ranked 3 out of 79 among all BSc graduates.
• Data Science background: Machine Learning, Deep Learning, Time Series Analysis, Image Processing, SQL, Mathematics, Statistics, Visualization, Python, and R.
• Projects: I did 64 projects for 31 courses using 9 software and 5 coding languages. More details about my projects (Link).
• Recommendations: Please see my related recommendations on Linkedin (Link).
Summer 2023 | Mechanical Engineer Intern at Airbus
Deployed Machine Learning models to assess the A220 buoyancy and accommodate any changes in specifications to ensure its effective performance in emergency water landings (ditching).
Developed simulations to investigate 17 different ditching scenarios assuring A220 would remain afloat for an adequate duration, allowing passengers and crew to evacuate into lifeboats safely.
Validated the developed model with the last tool, which has been in use since 2008.
PDS was a startup with 20 employees. Some of my duties included assisting the founder and CEO, handling technical issues, and negotiating with the company’s customers and key partners.
Worked in the tooling workshop.
Assisted Production, Marketing (Advertising, Selling, Delivering), and After-sales Services processes.
Summer 2019 | Mechanical Engineer Intern at Bidboland 1 – Gas Processing
Assisted the engineers in the technical office with double-checking the data collected by the technicians.
Visited various sites of the refinery to observe the practical application of theoretical knowledge as part of the internship benefits/contract.
Took the HSE workshop as part of the internship benefits/contract.
23. Course: Technology of Welding Methods, Researchproject’s title: 23.1. Translating, summarizing, and presenting the article: Effect of friction stir welding (FSW) on the electrochemical behavior and galvanic coupling of AA2024-T3 and AA7475-T651.
22. Course: Introduction to Computational Fluid, Software: Tecplot, Matlab, Projects’ title: 22.1 Problem Modeling.
20. Course: Composite Materials, Software: ABAQUS, Projects’ title: 20.1 Modeling and Analyzing Different Composite Materials in ABAQUS.
19. Course: Fundamental of Electrical Engineering Lab, Software: PSIM, Project’s titles: 19.1. Modeling the experiments in PSIM.
18. Course: Design of Components 2, Researchproject’s title: 18.1. Calculating, and presenting the project: Designing Gearbox, Differential, Brake and clutch systems, … for a car.
17. Course: Knowledge of Industrial Metals, Researchproject’s title: 17.1. Reviewing, summarizing, and presenting the article: Interaction of hot corrosion fatigue and load dwell periods on a nickel-base single crystal superalloy.
16. Course: Project Management and Control, Researchproject’s title: 16.1. Reviewing, summarizing, and presenting the article: SWOT Analysis Of Apple Company.
15. Course: Specialized English for Mechanics, Researchproject’s title: 15.1. Articles reviewing, summarizing, and presenting.
14. Course: Production Methods and Workshop, Researchproject’s title: 14.1. Reviewing, summarizing, and presenting the article: Modern methods of Die Cast.
I have hands-on experience with both Machine Learning (ML) and Deep Learning (DL) techniques. Among my notable endeavors in ML, I’ve advanced engineering methods at Airbus, deploying ML models to evaluate the A220’s safety during emergency water landings, commonly referred to as “ditching”. In the DL domain, I’ve explored Real-Time Object Detection, a cornerstone for Self-Driving Cars. These projects are just a glimpse of my extensive portfolio. Armed with expertise in Python, R, and C++, I bridge engineering with data science to forge impactful solutions. This is well-supported by the recommendations that highlight my practical skills. (Link).
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Recommendations
Hamid Shojaei | Data Scientist | Physics Ph.D. | Excelacom
Mohammad's mentor
Over the last few years, I have taught Max machine learning algorithms, Deep Learning, Time Series forecasting, and advanced Python, and R programming. He not only pays attention to the details but also has a bird-eye view of the concepts, which makes him very capable of joining any machine learning project. On his journey toward becoming a data scientist, Mohammad is highly motivated, organized, and focused.
Mostafa MR | Data Scientist PhD Candidate | Bowling Green State University
Mohammad's mentor
As part of our collaboration since 2021, Max and I worked together to collect and organize valuable code examples and Machine Learning concepts to be used later in our projects. As a result, he now has a solid background in Data Science, including Machine Learning, Deep Learning, Data Mining, Visualization, STAT, Python, and R.
