GSoC24

[ObMTHsTech]

About Me
Name: Obongofon Udombat
Email: [email protected]
LinkedIn: http://www.linkedin.com/in/obongofon-udombat-a30414146/
Github: https://github.com/ObMTHsTech
Phone: +2348167737565

Profile: Dedicated and motivated Mathematics finalist seeking opportunities to leverage mathematical expertise, programming skills, and data science experience to contribute effectively in a dynamic environment.
Education:
Bachelor of Science in Mathematics (Expected Graduation: April, 2023)
Akwa Ibom State University, Nigeria

Relevant Courses:
Differential Equations
Methods of Solutions to Partial Differential Equations
Calculus
Linear Algebra
Probability and Statistics

Final Year Project:
Title: Methods of Solutions to Partial Differential Equations with Python
Description: Investigated various numerical methods and techniques for solving Partial Differential Equations (PDEs) and implemented them using Python programming language.
Skills:
Proficient in Python, C++, and R programming languages
Strong mathematical skills with emphasis on differential equations
Data analytics and simulations
Problem-solving and analytical thinking
Excellent communication and teamwork abilities

Experience:
Data Science Intern
Infini Soft World, Quebec, Canada. February-July 2023.
Completed a 6-month internship focused on data science
Acquired practical experience in Python programming, data analytics, and simulations
Collaborated with team members on projects involving data analysis and visualization

Project 1: Differentiated Meshing for CFD-based Design
My interests in SU2 and the specific project stem from my passion for computational analysis and optimization in engineering systems. I am intrigued by the SU2 Foundation's mission to democratize access to multiphysics analysis and design optimization software, aligning with my belief in open-access tools fostering innovation in engineering sciences.
Regarding the "Differentiated Meshing for CFD-based Design" project, I am excited about the opportunity to contribute to the development of a code that generates discretized meshes with gradient information, a crucial aspect in optimizing engineering designs. My skills in Python programming, particularly with libraries like NumPy and JAX, equip me to tackle the task of developing and differentiating the meshing algorithm effectively.

Time Management
Currently, I am completing my undergraduate studies and will be graduating in April 2024. Following graduation, I have allocated 20 hours per week throughout the summer to dedicate to the SU2 GSoC project. During the GSoC months of May through July/August, I will be entirely available to focus on the project. I am committed to effectively managing my time to balance any remaining academic commitments with the demands of the project, ensuring timely progress and successful completion of all tasks.