Omar Besbes
Data Science Intern at Deepvolt
Data Science at GOMYCODE
Tunisia
Hi, I'm Omar Besbes!
Data Science Intern at Deepvolt
I hold a PhD in Computational Physics from the University of Tunis El Manar. My PhD research dealt with the investigation of electronic and magnetic properties of two-dimensional materials based on Density Functional Theory combined with a realistic modeling approach. During my PhD, I did two internships at the National Institute for Materials Science in Tsukuba, Japan. I recently completed a bootcamp in Data Science. I have a solid background in Mathematics, Statistics and Machine Learning algorithms. I am passionate about understanding real-world problems and challenges and addressing them with machine learning solutions.
Experience
Deepvolt
Data Science Intern
July 2022 - Present
Using machine learning techniques and satellite imagery to detect the electricity grid infrastructure and determine the optimal placement for charging stations for electric vehicles. Collect and label training data. Train and evaluate methods to different levels of granularity. Image segmentation / Object detection.
National Institute for Materials Science
Intern
June 2018 - September 2018
The objective of this research internship is to understand the behavior of interatomic exchange interactions on a microscopic level for transition metal trihalides MX3 (M=Cr and X=Cl, I). To achieve this goal, we performed Density Functional Theory electronic structure calculations, generated Wannier functions and constructed effective models based on these calculations to describe the magnetic properties of these materials.
National Institute for Materials Science
Intern
October 2017 - January 2018
Investigation of the magnetic properties of two-dimensional metal phosphorous trichalcogenides with the hexagonal lattice MPX3 (M=V-Cr and X=S, Se, Te) using Density Functional Theory electronic structure calculations and realistic models underpinned by these calculations. Construction of effective models based on Wannier functions for these compounds to describe their magnetic properties.
Education
Certificates & Badges
No certificates or badges added
Languages
Arabic
English
French
Skills
Modelling
Scientific Programming
Computational Physics
Quantum Mechanics
Condensed Matter Physics
Coding Skills
Analyzing Data
Problem Solving
Data Science
Machine Learning Algorithms
Deep Learning
Mathematics
Statistics
Data Visualization
Python Language Reference
SQL
LaTeX
Tableau
Interpersonal Skills
Public Speaking
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