Shamiya Mizan Ommie
Data Analyst | Network Operations Specialist
Professional with hands-on experience in network operations, VoIP technologies, data analysis, and Python automation. Skilled in SQL, Git, Linux, PostgreSQL, and data visualization tools (Tableau/Power BI). After a career break to focus on family, I'm now eager to re-enter the data analytics field with expanded competencies in JavaScript/TypeScript and distributed systems.
I bring a unique perspective combining telecommunications expertise with data analysis skills, allowing me to understand both technical infrastructure and the insights that can be derived from complex datasets.
Programming & Data Analysis
Tools & Platforms
Skills Distribution
Skills Network
My systematic approach to data analysis projects:
Data Collection
SQL queries, APIs, and ETL processes to gather relevant data
Data Cleaning
Python scripts to normalize, deduplicate, and handle missing values
Analysis
Statistical methods and pattern recognition to extract insights
Visualization
Creating intuitive dashboards that tell the data's story
Network Performance Analysis
Call Success Rate
Traffic by Region
- Led a team to analyze thousands of Call Detail Records (CDRs) for trend identification, fraud detection, and performance optimization.
- Developed and automated reporting using Excel and SQL to support decision-making and ensure quality service availability.
- Managed bandwidth load balancing across international Points of Presence (UK & Singapore).
- Collaborated with stakeholders to align technology initiatives with business goals.
- Monitored network performance using PRTG and MRTG, creating dashboards and fault analysis reports.
- Provided first-level technical support to international vendors and service providers.
- Analyzed call performance data to resolve network issues and improve operational efficiency.
- Analyzed internet routing patterns and network traffic to evaluate connectivity under governance policies.
- Utilized Python, SQL, and data visualization for actionable insights.
- Took a planned career break to focus on family, maintaining continuous learning in data analytics, Python programming, and automation.
- Completed self-learning initiatives and certifications to prepare for a return to the technical field.
VoIP Traffic Optimization
Challenge: Call quality issues during peak hours affecting customer satisfaction.
Approach: Analyzed 6 months of CDR data to identify patterns and bottlenecks.
Solution: Created a predictive model to anticipate traffic spikes and developed an automatic load balancing system.
Result: 27% improvement in call quality metrics and 18% reduction in dropped calls.
Fraud Detection System
Challenge: Increasing fraudulent call attempts causing revenue leakage.
Approach: Implemented machine learning algorithms to detect unusual call patterns.
Solution: Developed an automated alert system identifying suspicious activity in near real-time.
Result: 92% reduction in fraudulent calls and estimated $120K monthly savings.
Network Engineer
Monitoring and troubleshooting
Team Leader NOC
Advanced data analysis
Google Certifications
Technical upskilling
Freelance Data Analyst
Project-based work
Data Analyst
Current focus
Data Assistant Demo
Ask a question about my data skills
Google IT Support
Professional Certificate (2021)
Fellowship
APNIC-42, Sri Lanka, 2016
Fellowship
Asia Pacific Internet Governance Academy, South Korea (2017)
IPv6 Hackathon
APNIC IPv6 , Nepal (2018)
B.Sc. in Electronics & Telecommunication Engineering
University of Development Alternative (UODA), Bangladesh
MBA in Management Studies (Ongoing)
Bangladesh University of Professionals (BUP)