# Engineering & Data Science
Radio Network Planning & Optimization Engineer
Powered by AI & Automation
With 15 years of experience in GSM/UMTS/LTE networks, I maximize operational efficiency and customer experience. I specialize in bridging the gap between traditional RF Engineering and modern Data Science, using Python, Machine Learning, and Automation to solve complex network challenges that standard tools can’t handle.


Network Planning & Optimization
End-to-end GSM/UMTS/LTE planning and optimization. Expert in Atoll, TEMS, and maximizing spectral efficiency for high-density clusters.

Machine Learning & AI
Developing traffic forecasting models using Scikit-learn and Python to predict capacity needs and drive data-based investment strategies.

Intelligent Automation
Architecting Python pipelines to automate KPI reporting, streamline complex workflows, and eliminate manual analysis errors.

Operational Excellence
Leading cross-functional teams to ensure superior network reliability, strict SLA compliance, and rapid resolution of VIP customer issues.
# Professional Bio
I am a Radio Network Planning & Optimization Expert with 15 years of experience across GSM, UMTS, and LTE networks. Unlike traditional engineers, I combine deep technical mastery of RF tools (Atoll, TEMS, Actix) with advanced Data Science skills.
I specialize in building Python automation pipelines and Machine Learning models to predict network capacity, eliminate manual analysis, and maximize customer satisfaction. My goal is to transform raw network data into strategic investment decisions.
Email:
info@hamzaaydin.tr
Phone:
+1 1234567890
Location:
Istanbul, Turkey

15+
Years Experience
3
Major Operators
12+
AI Certifications
100%
SLA Compliance
# Work Experience
Leading regional RF planning for GSM/UMTS/LTE. Developed a Machine Learning-based traffic forecasting model (Scikit-learn) and established a centralized Python automation pipeline for remote site auditing.
Türk Telekom
2020-present
Senior RF Planning & Optimization Engineer
Leading regional RF planning for GSM/UMTS/LTE. Developed a Machine Learning-based traffic forecasting model (Scikit-learn) and established a centralized Python automation pipeline for remote site auditing.
Vodafone Turkey
2018-2020
RF Planning & Optimization Senior Specialist
Managed network-wide LTE 4×4 MIMO rollout and led RF planning for high-density districts (Kadıköy, Maltepe). Engineered advanced SQL queries for Huawei iSStar to audit inventory accuracy.
Nokia Solution Networks
2015-2018
NPO Engineer / Team Lead
Led RF and Transmission engineering teams for the Black Sea Region. Directed cluster-based optimization using NetAct and Atoll to ensure service continuity during mass events.
# Professional Skillset
Radio Network Engineering
Atoll • Actix Analyzer • TEMS • MapInfo • SwissQual • Huawei M2000/U2000 • PRS • iManager • iSStar • Smartcare CEM •
Nokia NetAct • Optima • Eden-Net
Data Science & Machine Learning
Python • Pandas • NumPy • Scikit-Learn • TensorFlow • Keras • Feature Engineering • Forecasting •
Data Visualization • End-to-End ETL Pipelines
Software Development & Automation
Python Automation • Bash & Cron Jobs • Linux CLI • SQL • API Development • SAP BO Automation •
Custom Tooling • Geo-Data Processing (KMZ/KML)
Cloud & DevOps
Docker • Git/GitHub • VPS/EC2 Management • SSH/SFTP Pipelines • Linux Systems • Lightweight Server Deployment
# Featured Projects
I don’t just plan networks; I build the tools to optimize them. Here are a few examples of how I apply Machine Learning and Python automation to solve real-world Telecom challenges.

Built an LTE voice/data prediction model using Scikit-learn to optimize investment strategies.
2025

Implemented a centralized VPS pipeline to aggregate panoramic site imagery via SFTP for AI Computer Vision analysis.
2025

Engineered Python tools to merge site and inventory data into dynamic map layers, adopted nationwide.
2025

The science of today is the technology of tomorrow.
– Edward Teller –
