Hi, I'm Mohamed Eddahby
Data Science & Software Engineer
Student in Master of Business Intelligence and Imagery,
I
am passionate about the application of information technology in
the field of decision making and imagery.
I am eager to hear about potential career opportunities, so I
would be pleased to chat about job openings in data science
engineering sphere.
About Me
My introduction
Data scientist and business intelligence enthusiast, skilled in extracting insights from data to drive informed decisions. Experienced in web and mobile development for comprehensive solutions.
experience
project
Skills
My technical levelsLanguages
More than 2 yearsJava
80%Python
80%JavaScript
75%Dart
70%PHP
80%C
75%MATLAB
80%HTML
90%CSS
70%Frameworks
More than a yearFlutter
75%React
70%Node JS
80%Express
80%Laravel
75%Bootstrap
85%Databases
More than a yearSQL
80%MongoDB
75%SQLite
80%Oracle
70%Firebase
70%Tools & Others
More than a yearGit
80%VS Code
85%IntelliJ
80%Android Studio
80%OpenCV
80%Linux & CLI
85%Problem Solving
85%Data Analysis
More than a yearScikit-Learn
80%Pandas
80%Numpy
80%Matplotlib
70%Orange
70%Scipy
70%SPSS
70%Business Intelligence
More than a yearPowerBI
80%Talend Open Studio
80%Pentaho
80%Tableau
70%Qualification
My Personal JourneyMaster degree : Business Intelligence & Imagery
Morocco - Faculty of Sciences and Techiques ErrachidiaSoftware Engineering
Morocco - Faculty of Sciences and Techiques ErrachidiaDEUST in M.I.P
Morocco - Faculty of Sciences and Techiques ErrachidiaBaccaloureate in Sc. PC
Abdelkarim Elkhattabi SchoolIdentifying Suitable Wind Farm Sites in Draa Tafilalet Region
This innovative project aims to tap into the wind potential of the Draa Tafilalet region using advanced spatial analysis techniques. Our in-depth study, based on wind speed and topography data, identifies optimal sites for wind turbine installation. This initiative promotes renewable energy production, facilitating the transition to a greener economy while minimizing environmental impacts.Sales Forecasting
In this project, I developed a sales forecasting model using two powerful techniques: ARIMA and Linear Regression. By analyzing historical sales data and leveraging Python's data analysis libraries, I implemented ARIMA models to capture time-series patterns and trends. Additionally, I employed Linear Regression to identify and quantify the impact of various factors on sales. Through this project, I gained valuable experience in data cleaning, model building, and predictive analysis.Video Compression and Encryption Tool
Created a Python application with Tkinter and Custom Tkinter for GUI that allows users to compress and encrypt video files for secure storage and transfer. The application supports file selection, video compression, decompression, encryption, and decryption using industry-standard algorithms. By reducing file sizes and implementing robust security measures, the tool enhances data security while ensuring efficient storage and transmission of video content.Sales Insights
This project aimed to develop a business intelligence system to provide insights on sales data for a company. It involved designing and implementing a data warehouse, performing ETL processes, and creating dashboards for data visualizationeBook Store Mobile App
Developed eBook Store cross platform mobile app using Flutter framework along with Firbase as backendDeveloped eBook Store cross platform mobile app using Flutter framework along with Firbase as backendServices
What I offer
Full-Stack
Development
BI & Data
Analysis
Mobile App
Development
Projects
Most recent work
Cross-platforme Mobile App
Cross-platforme mobile app as an eBook Store to all devices, with ui components and animated interactions.
Demo
