Resume

My journey in writing was before 2022 in fact, It was in my childhood that I started writing stories and quotes in French and trying to expand my imagination. Now that I'm able to write about Data Science and Machine Learning, I can help people understand complex topics easily.

Designing and implementing a robust decision-making solution for optimizing general management operations: My precise work was to build a decision-making solution for the General Management of Ciments du Maroc, especially the sales and control department. I started with the analysis of the current state, followed by a self-training on the technologies I need to carry out the project well(Tableau software, Excel, Python Libraries, SQL Server DBMS, SSIS). Then I proceeded to implement the decision-making system which begins with data gathering and some demonstration dashboards followed by designing a robust ETL pipeline using SSIS powering a data warehouse represented by a SqlServerDB that feeds Tableau software for reporting. The final step involves building dashboards using Tableau Software to better understand the company's data and make the right decisions after a set of analysis.

Our project delivers high-quality statistics of companies` E-reputation in order to help them improve their business and quality of work because a company's reputation can bring a lot of opportunities and collaborations to it. We've developed a web app backed by AI especially NLP applications for text mining. We've scraped data from an online newspaper in order to analyze the sentences. Our main goal was to come up with a lot of information & data about each company presented within our website & thus making our platform more sophisticated. This project was presented during the ceremony of projects within our faculty and we've been classed 3rd.

Developing a web app for client management (including profiles, meeting with the company, and registration) of a car wash company using: * Laravel * VueJS * AJAX * HTML5 * CSS * BOOTSTRAP5

Human resources assistant, Recruiting, Activities planning,

The Data Science and Decision Support master's program is a specialized degree designed to equip students with advanced skills in analyzing complex datasets and making informed decisions based on these analyses. The program bridges the gap between data science - the field of study that involves extracting insights from vast amounts of data using various scientific methods, algorithms, and processes, and decision support - which involves using these insights to aid in decision-making processes in various contexts such as business, healthcare, finance, and more.

This includes understanding the basics of programming languages, algorithms, data structures, and databases. These foundational skills are crucial for all computer science-related fields.
Distributed Systems: Students learn about the architecture of distributed systems, including how different nodes communicate with each other, synchronization, fault tolerance, and data consistency. This may involve studying various distributed computing models and algorithms. Networking: Since distributed systems are spread over various machines, it's crucial to understand how these machines are networked together. Students may learn about network protocols, data transmission, network architecture, and security.

It is a program that provides a broad foundation in the various branches of physical science. Physical sciences are those branches of natural science that study non-living systems, as opposed to biological sciences which deal with the study of living systems.