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  • šŸ”­ Iā€™m currently working at Incorta
  • šŸŒ± Iā€™m currently learning Deep Learning and Advanced Database topics as part of my master degree.
  • šŸ‘Æ Iā€™m looking to collaborate on open source projects related to data procesing.

Ahmed El-Naggar's Projects

database_duplicator icon database_duplicator

This project creates a schema in a given destination database just by using the source database connection string and the source schema name.

equationssolver icon equationssolver

This Equations Solver project was done using the MATLAB programming language. Given a function of any type, a method of several root finding methods is chosen to solve the equation. Graphs are used to display function to be solved along with graphs to show the comparisons between methods performance. Errors in calculations, error bounds, maximum number of iterations, and couple other parameters are displayed. Supported Methods are Bisection Method, Newton Rapshon, Fixed Point, False Position, Secant, Birge Vieta (for polynomials), General Method (for multiple roots).

jobs_application_monitor icon jobs_application_monitor

A java program which aims to help software engineering students and graduates who frequently apply for jobs and can not manage to keep track of all these applications. This tool helps them keep track of all applications with an easy to use CLI.

paint icon paint

Paint program that allows user to draw basic geometrical shapes and add colors to them.

soqal icon soqal

Arabic Open Domain Question Answering System using Neural Reading Comprehension

storm_population_analyzer icon storm_population_analyzer

I use storm to stream fake population data and perform some statistical operations on them before writing that result to another local file.

systemsofequationssolver icon systemsofequationssolver

This systems of linear equations solver project was done using the MATLAB programming language. Given a system of linear equations of any number of variables, a method of several methods is chosen to solve for the unkown variables. Supported Methods are Gauss Elimination, Gauss Jordan, LU Decomposition, and Gauss Seidel.

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