Mohamad Faidi Email & Phone Number

Italy

• Simulation VIDM" project, Responsible for converting a semiconductor fabrication facility (Fab) into a simulation model.
• focused on sourcing data from its origin and conducting comprehensive preprocessing tasks, which include managing missing data, identifying outliers using methods like Z-score and DBSCAN, implementing PCA for.
• Build Real-time streaming for processing of 100,000 users and more with data around 10TB and improve the overall performance and scalability of the applications by 90%.
• Create, configure and reduce risks of complex dynamic DAGs and work with cloud services, reducing cost-cutting solutions by 85% as a result of architectural migration.and loading data.
• Prepare And Manage Environments for deploying applications in order to help improve scalability by 90% in response to significant usage and pressure. when facing high levels of demand and heavy traffic.

• Spotify API Project: app used by millions of users daily. This app downloads the data about the songs that people listen to during a day analyses and saves that data,
• Two terabytes of downloaded data from the server underwent thorough validation, resulting in a 95% reduction in redundant efforts. Employing techniques such as boolean mode, string mode, integer mean, and float median.
• Stored the data and enhanced data storage efficiency by 90% through optimized on-premise vs. cloud storage decisions and leveraged ORM for better performance and scalability.
• Implemented data quality checks and automated data validation processes, scheduling jobs as orchestration, resulting in an 88% increase in the speed of the performance and data processing.

Palestine Ramallah

• Created scripts to generate and deploy Excel files while converting them into a custom format, resulting in an 18% improvement in accessibility.
• Worked with other 20 Engineers to design logical solutions for 10+ businesses and clients.
• Structured highly complex datasets throughout 12 projects to ensure progress, create and organize data pipeline in order to improve accessibility to 200+ users.
• Associated in developing the database server system with SQL, increasing efficiency performance by 18%.

I have successfully completed a 30-hour online Python training program offered by the Ministry of Telecom. The course covered a range of topics such as datatypes, conditional statements, loops, functions, classes, OOP, sockets, time, threads, Tkinter and Flask Framework, and Machine Learning. During the training, I created a GUI application using Tkinter.

• Examined data monthly for 4,000 active users, using the insights to shape marketing and product strategies, which led to a 30% increase in sales.
• Designed a system to automate data analysis, presenting results through a user-friendly dashboard for streamlined user data monitors. This facilitated quicker decision-making.

I am pleased to announce the successful completion of a comprehensive online training program, spanning 20 hours in duration. The program consisted of a variety of workshops including Marketing, Interview Skills, CV Writing, LinkedIn Strategy, and Workshop LinkedIn. These workshops were designed to provide valuable knowledge and skills in various areas of.

Master'S Degree, Artificial Intelligence

Bachelor'S Degree, Computer Science

Trainee, Computer Science

Training includes: ● Data tables Analysis ● DataBase Analysis ● Mac/Windows Device Maintenance ● Servers & The Board RG