Skilled RAN Planning Senior Engineer specializing in BSS planning and solutions with good knowledge of ZTE equipment. Passionate about digital transformation and process automation.
Birthdate
3/6/1999
Residence
Cairo, Egypt
Military status
Exempted
Summary
Education
Faculty of engineering - Ain-Shams University
Electrical / Electronics and Communication - Bachelor
2017 - 2022
Grade: Very good
Graduation Project
Heterogeneous network design and optimization
Layout studying and working on IB-wave software for indoor RF planning
Grade: Excellent
Work Experience
Etisalat
RAN Planning Senior Engineer
February 2024 - Now
- Designing BSS solutions for new sites and expansion projects for ZTE vendor based on the required configuration from Radio planning teams
- Gained in-depth knowledge about ZTE equipment
- Planning of modernization, expansion and upgrade actions for Ericsson, Nokia and ZTE vendors on BSC/RNC level
- Working with Ericsson, Nokia and ZTE operation teams to ensure quality of service across the network
- Driving digital transformation by automating workflows and data processing using Python
Etisalat
RAN Planning Engineer
January 2023 - February 2024
- Providing antenna solution based on the required configuration
- Auditing and tracking of RF equipment
- Collaborating with other teams to ensure seamless network integration
- Working closely with antenna vendors and reviewing new technologies
Courses and Certificates
Mobile package
- 2G/3G/4G Network Architecture
- 2G/3G/4G Frequency Bands and Access Techniques
- 2G/3G/4G Air Interface
Siemens 5G diploma
https://drive.google.com/file/d/1Sd9BiSEIdkzuGjga7FJiX3TvrMaDrWzj/view?usp=drive_link
- 5G applications
- 5G Network Architecture and Air Interface
CCNA
- OSI and TCP/IP models
- Routing and Switching
Python for Data Science, AI & Development
IBM
https://www.credly.com/badges/def9ec59-e5b0-43b0-ba6f-8f88a0b308a4/public_url
- Data Structures (Lists-Tuples-Dictionaries-Sets)
- Conditions, Loops and Functions
- Objects and Classes
- Files Handling
- APIs and Web Scraping
Data Analysis with Python
IBM
https://www.credly.com/badges/ada0399a-c55b-4330-8983-bec71fc20d90/public_url
- Importing and Exporting Data in Python
- Data Cleaning
- Exploratory Data Analysis
- Data Visualization with Matplotlib and Seaborn
Supervised Machine Learning: Regression and Classification
DeepLearning.AI
https://coursera.org/share/33102bc1e933ab28c80bf7b34af25f27
- Supervised learning and Unsupervised learning
- Regression and Classification
- Cost Function and Gradient Descent Algorithm
- Overfitting and Underfitting problems
Advanced Learning Algorithms
DeepLearning.AI
- Neural Networks implementation with TensorFlow
- Model selection and evaluation
- Diagnosing bias and variance
- Decision trees
Databases and SQL for Data Science with Python
IBM
- SQL Statements (DDL vs DML)
- Sub-Queries and Nested Selects
- Accessing Databases Using Python
- Advanced SQL (Views-Stored Procedures-ACID Transactions-Joins)
AWS Certified Cloud Practitioner
Skills
Technical and Software
Microsoft Office
ERP
UME
IB-Wave
Python
Pandas
Numpy
Matplotlib
Seaborn
Scikit-Learn
Xgboost
TensorFlow
SQL
C++
Data Analysis
Data Visualization
Linear Regression
Logistic Regression
AWS
Soft Skills
Team work
Innovation
Self-learning
Time management
Committed to continuous learning and development.
Problem solving