Keivan Jamali

Transportation Engineering Student at Sharif University of Technology

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My Skills :

Here you can fine my most significant skills. Provided percentages are for easier comparison between my skills.

Python Programming

90%

PyTorch - Machine Learning

90%

Data Analysis - Pandas & Numpy

95%

WordPress

76%

Prompt Engineering

97%

Master of Science in Transportation Engineering | Sharif University of Technology
15th September 2024

Bachelor of Science in Civil Engineering | Sharif University of Technology
29th October 2020 – 21st June 2024 | GPA : 4.0/4.0 | Ranked 2 among 80

High School Diploma in Mathematics and Physics | National Organization for Development of Exceptional Talents (Sampad)
Sep 2014 – June 2020

Projects :

Simplex-step | Feb 2024 – June 2024
• Performing the Simplex algorithm – the magic starts here
• Prepping the two-phase Simplex method – making sure we’re ready for anything.
• Implementing sensitivity analysis – because knowing how changes affect our solutions is key.
• Using duality to optimize the performance – duality is like finding the secret sauce for efficiency!
• The model base code can be tracked on KeivanJamali.com and GitHub.

Food Vision with PyTorch | Oct 2023 – May 2024
• Currently engaged in the development of a vision-based model using PyTorch.
• Utilize transfer learning techniques to prepare the model of EfficientNetB2.
• The model deployed into Hugging-Face
• The model base code can be tracked on KeivanJamali.com and GitHub.

Clinic Online Website | Oct 2023 – Jan 2024 | Supervisor: Dr. Habibi
• Our team developed a clinic website using Python and Django. The platform streamlines clinic management by handling appointment scheduling, patient registration, and medical record management.
• Leveraging the Django framework, we created a user-friendly web application. Patients can easily book appointments and access their medical history, while administrators efficiently manage staff schedules and patient records.
• Our project involved defining tables, implementing classes with object-oriented programming (OOP) methods, and seamlessly integrating the back-end and front-end components using Django.
• The project can be tracked on KeivanJamali.com and GitHub.

LOS Prediction Under Rainy Weather Conditions with Machine Learning | Oct 2023 – Jan 2024 | Supervisor: Dr. Z. Amini
• Worked on LOS Prediction Under Rainy Weather Conditions with Machine Learning using Python.
• Developing a model to predict unseen regions.
• Planning to write a research paper on the project’s findings and insights.
• Progress and updates on the project can be tracked on KeivanJamali.com and GitHub.

Traffic Demand Modeling Using Neural Networks | Jun 2023 – Jan 2024 | Supervisor: Dr. Z. Amini
• Developed and implemented a traffic demand modeling framework using the Gravity model and Neural Networks for accurate flow prediction.
• Analyzed results from four OD matrices (SiouxFalls, Anaheim, Chicago, and Gold Coast Zones) to gain insights into traffic patterns.
• Contributing to a research paper on the findings.
• Documented the project details and outcomes on KeivanJamali.com & GitHub.

FEM Modeling of Azadi Tower | Feb 2023 – June 2023 | Supervisor: Dr. M. Ahmadi
• Developed a 2D FEM model to simulate and analyze the structural behavior of Azadi Tower.
• Provided valuable insights by analyzing displacements and forces of each node.
• Received the highest score in the class (2.5 out of 2).
• Project is available on KeivanJamali.com & GitHub.

Modeling the Transfer of Pollution in the Persian Gulf | Feb 2023 – June 2023 | Supervisor: Dr. Danesh
• Developed a comprehensive model to simulate pollution diffusion and advection in the Persian Gulf.
• Investigated the impact of primary pollutants and analyzed pollution transfer patterns.
• Created an animation illustrating the movement and spread of pollutants within the ocean.
• Project is available on KeivanJamali.com & GitHub.