About Me
Nerd Cafe
Experience
Head of Communication Services Supervision Department, July 3, 2023– Present + ICT Expert, December 21, 2012– July 3, 2023
Key Responsibilities & Achievements:
Led oversight of communication service providers, ensuring compliance with regulatory standards and service quality.
Developed and enforced policies to enhance network reliability, security, and customer satisfaction.
Managed cross-functional teams, coordinating audits, inspections, and performance evaluations.
Drove strategic initiatives to improve telecom infrastructure and service delivery efficiency.
Liaised with government agencies (G2G) and businesses (G2B) to align industry practices with national regulations.
Monitored KPIs and implemented corrective actions to resolve service disruptions and maintain SLA compliance.
Prepared executive reports on regulatory compliance, service performance, and market trends.
Spearheaded stakeholder engagement, addressing grievances and fostering transparent communication.
NOC Expert, Dec 2011– Dec 2012
Key Responsibilities & Achievements:
Designed, implemented, and maintained G2G & G2B network services, ensuring high availability and performance.
Managed core network infrastructure, including architecture, upgrades, migrations, and troubleshooting.
Monitored and enhanced customer satisfaction by improving service quality and resolving network issues promptly.
Developed and maintained technical documentation, operational procedures, and incident reports.
Provided project management for network implementations, upgrades, and security protocols.
Diagnosed and resolved network errors, hardware malfunctions, and security vulnerabilities.
Configured and maintained Cisco switches (2960, 3750, 4500, 6500) and routers (1841, 2621, 4000, 7206).
Deployed and optimized MikroTik devices (RB series) for enhanced network efficiency.
Ensured network security through system backups, access controls, and protocol management.
Skills and Endorsements
Network Administrator
Network Engineer
Network Security
Machine Learning
Mathematics – Linear Algebra, Probability, Statistics
Databases – SQL for data storage and retrieval
Data Cleaning – Handling missing values, outliers
Data Visualization – Matplotlib, Seaborn, Tableau
Exploratory Data Analysis (EDA)
Supervised vs. Unsupervised Learning
Key Algorithms – Linear Regression, Decision Trees, SVM, Neural Networks
Model Evaluation – Cross-validation, Hyperparameter tuning
End-to-End Data Science Projects
Deploying Models with Flask or FastAPI
Neural Networks – TensorFlow, PyTorch
NLP, Computer Vision, Time-Series Analysis
Big Data – Spark, Hadoop
Last updated