Sargun Singh
Faridabad
Summary
Data-focused telecom professional with 1.5+ years of experience at British Telecom (Fibre and Network Delivery), skilled in analyzing operational data, optimizing network performance, and supporting fibre rollout processes. Seeking to transition into a Data Analyst or Network Data Analyst role to enhance data-driven decision-making and process efficiency. Adept at transforming raw data into actionable insights that support business and technical decisions.
Overview
2
2
years of professional experience
1
1
Certification
Work History
Associate Engineer
British Telecom
Gurgaon
07.2023 - Current
- Designed and planned fibre optic network routes, ensuring optimal placement of line plants to enable seamless broadband connectivity with minimal field disruption.
- Verified and managed line plant availability and physical infrastructure readiness to support network expansion, upgrades, and customer installations.
- Conducted detailed checks on routing, connectivity, and circuit integrity to support both current operations and future scalability of the network.
- Generated work orders and field instructions for on-site engineers, ensuring efficient site readiness and timely service delivery.
- Managed bandwidth provisioning and resolved data integrity issues within the core network, improving performance visibility and reporting accuracy.
- Planned and documented fibre routes to hub sites across multiple network types including Core, FTTP, FTTC, and FTTX, supporting both customer access and backbone infrastructure.
Education
Bachelor's Of Technology - Computer Science and Engineering
Echelon Institute of Technology
Faridabad, Delhi NCR01.2023
High School education -
Modern Vidya Niketan
Faridabad01.2019
Skills
- Fibre optic design
- Network troubleshooting
- Infrastructure planning
- Data integrity management
- SQL
- Python
- PowerPoint
- Field instruction generation
- Requirements analysis
- Problem-Solving
- Effective communication
Projects
American Sign Language (ASL) Reader
- Created a sign language recognition system over Pycharm using machine learning with Python. Programmed the ASL recognition system to take data in real time, giving the output recognizing the alphabet and comparing it with data models.
- Formulated the data sets with supervised machine learning and Convolutional Neural Networks(CNN). Used MediaPipe and OpenCV for image processing and analysis, along with TensorFlow and Keras for training the data models and NumPy.
Certification
- Internet Of Things
- Social networks
- Data Science Foundations
- Python For Machine Learning
Hobbies and Interests
- Designing
- Travelling
Timeline
Associate Engineer
British Telecom
07.2023 - Current
Bachelor's Of Technology - Computer Science and Engineering
Echelon Institute of Technology
High School education -
Modern Vidya Niketan
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