Summary
Overview
Work History
Education
Skills
Certification
Timeline
Projects
Projects
Generic
Ihssan Al-Faqeah

Ihssan Al-Faqeah

Riyadh

Summary

With over a decade of versatile experience, I bring strong
leadership, problem-solving, and prioritization skills. My
goal is to utilize these abilities effectively as a Data
Scientist, driving innovation and success in esteemed
company. With expertise in technical solutions and
leadership, I adapt well to various team roles. Committed
to enhancing business performance through collaboration
and a strong work ethic, I focus on achieving company
objectives and increasing service value. Backed by a
proven track record in technical solutions and leadership, I
excel in detail-oriented problem-solving. I am eager to
make an immediate impact on the organization's
success.

Overview

20
20
years of professional experience
5
5
years of post-secondary education
5
5
Certificates
2
2
Languages

Work History

SENIOR SYSTEM ANALYST

Mobily-Huawei
05.2014 - Current
  • Performed comprehensive audits on Huawei, Nokia, and Ericsson
    telecommunication networks to identify and address critical issues. Analyzed network traffic, peak times, and user
    patterns, enhancing network efficiency and reliability using advanced tools. Automated data processing from
    vendors' OSS with Python, significantly reducing analysis time.
  • Led comprehensive analysis of 3G, 4G,and 5G network throughput across multiple vendors, covering city, regional,
    and national scales. Utilized Power BI for advanced data visualization, enhancing clarity and insight into study outcomes.
    Employed Python and its key libraries (Pandas, NumPy, Matplotlib) for data analysis, with a strong focus on applying
    machine learning techniques for time series forecasting. Leveraged ARIMA, SARIMAX, and LSTM models to accurately predict traffic and throughput trends on daily, weekly, and monthly timelines, demonstrating a significant expertise in machine learning applications within telecommunication
    network analysis.
  • Analyzed Mobily network performance using Ookla data, optimizing through automated Python scripts for data
    handling. Focused on key metrics like speed, latency, and packet loss to assess performance across geographical areas.
    Leveraged machine learning, specifically time series models ARIMA, SARIMAX, and LSTM, for precise network behavior
    predictions. This methodology pinpointed bottlenecks and guided
    improvements, boosting network reliability and user
    experience.rovements, significantly enhancing overall network reliability and user experience.
  • Use Python and SQL to proficiently manage and analyze extensive datasets from Huawei's Customer Experience Management (CEM) tool across all Mobily-associated vendors. Expertly
    cleaned and examined data, revealing critical insights between Key Performance Indicators (KPIs) and Key Quality Indicators (KQIs). Developed automation solutions to enhance data
    processing efficiency, driving strategic network improvements and significantly improving customer experience through data-driven insights.
  • Creating visually compelling reports and dashboards using Power BI for in-depth analysis of Key Performance Indicators/Key Quality Indicators (KPIs/KQIs) across diverse technologies.
    My work has facilitated crafting of engaging data narratives with impactful visuals for management audiences, illustrating traffic distribution and throughput trends.
  • Utilized Python and machine learning algorithms to optimize radio frequency (RF) performance of LTE, WCDMA, and
    GSM networks, addressing interference issues between macro and micro cells through strategic mitigation techniques.
    Applied both supervised and unsupervised machine learning models to facilitate layer balancing across carriers within same sector, enabling precise prediction of PRB (Physical Resource Block) utilization for each layer. This innovative approach
    significantly improved network efficiency and performance, showcasing a deep understanding of network dynamics and machine learning applications in telecommunications.
  • Implemented an advanced study to analyze VIP customer behavior within Mobily's network, focusing on reducing
    churn through meticulous monitoring of user equipment (UE) behavior and detailed log file analysis. Utilized sophisticated tools such as Power BI, Python, and Tableau to track crucial
    metrics like RSRP, RSRQ, latency, and throughput, while also addressing customer complaints. This data-driven strategy facilitated the identification and rectification of performance shortfalls, significantly enhancing service quality for premium customers. This proactive measure aimed to boost customer
    satisfaction and loyalty, effectively minimizing churn risk among our esteemed VIP clientele.

RF OPTIMIZATION ENGINEER

Zain-ZTE
06.2009 - 01.2014
  • Demonstrated adeptness with telecom-specific tools and software suites including U2020, PRS, Discovery, CEM, Genex Cloud, and MapInfo for comprehensive data collection and analysis
  • Applied machine learning techniques to forecast traffic and throughput metrics, leveraging data from PRS and Ookla to predict user and cell throughput, thereby enabling proactive network management.

TECHNICAL ENGINEER

Almuftah-Sharp-NEC
03.2004 - 05.2009
  • Managed troubleshooting and maintenance for NEC PCs, Sharp printers, scanners, and cash machines, ensuring uninterrupted network connectivity
  • Provided prompt technical support to resolve hardware and software issues, fostering positive client relationships and collaborating with cross-functional teams for seamless operations.

Education

Master of Science - Artificial Intelligence

University of Bath
United Kingdom
01.2023 - Current

Bachelor of Science - Computer Science And Information Systems

Philadelphia University
Amman ,Jordan
05.1999 - 05.2003

Skills

Python Programmingundefined

Certification

Advance Machine & Deep Learning - Markov

Timeline

Master of Science - Artificial Intelligence

University of Bath
01.2023 - Current

SENIOR SYSTEM ANALYST

Mobily-Huawei
05.2014 - Current

RF OPTIMIZATION ENGINEER

Zain-ZTE
06.2009 - 01.2014

TECHNICAL ENGINEER

Almuftah-Sharp-NEC
03.2004 - 05.2009

Bachelor of Science - Computer Science And Information Systems

Philadelphia University
05.1999 - 05.2003

Projects

  • Arabic Sentiment Analysis using NLP (Natural Language Processing)Libraries: Pandas, NumPy, Matplotlib, Seaborn, Keras, NLTK, Spacy, Regex, Sklearn
  • Recommender Systems: Comparison between Neighborhoods of Cairo, Istanbul, and Marrakesh for Business OpeningLibraries: Pandas, NumPy, Matplotlib, Seaborn, Folium, Geopy, Sklearn
  • Enigma Machine Simulator (Object-Oriented Programming)
  • 8 Queens Game (Genetic Algorithm)
  • Sentiment Analysis of Car Reviews (NLP)Libraries: Same as Arabic Sentiment Analysis
  • Using Python in Telecom to:Find distance between thousands of sites with determining n ranking (closest sites) to each site Determine the discrepancies between collocated LTE and 5G cell azimuths which are not aligned in the direction to gain better user experience
  • Using Q-GIS in:Network Monitoring and Optimization Network Planning and Design Creating network sites layers

Projects

Arabic Sentiment Analysis using NLP (Natural Language Processing) Libraries: Pandas, NumPy, Matplotlib, Seaborn, Keras, NLTK, Spacy, Regex, Sklearn. Recommender Systems: Comparison between Neighborhoods of Cairo, Istanbul, and Marrakesh for Business Libraries: Pandas, NumPy, Matplotlib, Seaborn, Folium, Geopy, Sklearn. Enigma Machine Simulator (Object-Oriented Programming). 8 Queens Game (Genetic Algorithm). Sentiment Analysis of Car Reviews (NLP) Libraries: Same as Arabic Sentiment Analysis. Using Python in Telecom to: Find distance between thousands of sites with determining n ranking (closest sites) to each site Determine the discrepancies between collocated LTE and 5G cell azimuths which are not aligned in the direction to gain better user experience. Using Q-GIS in: Network Monitoring and Optimization Network Planning and Design, Creating network sites layers
Ihssan Al-Faqeah