Parina

Network Engineer | Software Engineering, Cloud Computing & Data Science

Telecommunications
1roles
40skills
2education

About

Network Engineer with experience supporting broadband network operations, network monitoring, implementation-partner coordination, technical records, and operational reporting. Holds M.Tech and B.Tech degrees with project experience in software, machine learning, IoT, web development, and databases.

Experience

Network Engineer

Bharat Broadband Network Limited

May 2024 - August 2025

Coordinated with BSNL, HFCL, Veremax, and other implementation partners to support broadband network operations; supported state-level NOCs and field technicians; monitored performance through Network Management Systems; tracked faults, fixes, and service issues; maintained configuration, incident, resolution, and hardware-inventory records; prepared daily, weekly, and monthly performance and usage reports.

Education

Thapar Institute of Engineering and Technology

M.Tech, Engineering

Aug 2021 - Jun 2023

Chandigarh College of Engineering and Technology

B.Tech, Engineering

Aug 2017 - Jun 2021

Skills

JavaPythonCC++JavaScriptRHTMLCSSNode.jsExpress.jsMySQLMongoDBDatabase Management SystemsPandasNumPyOpenCVKerasCNNLSTMGRUSVMRandom ForestLogistic RegressionNeural NetworksAWSGitGitHubNetwork monitoringNOC operationsFault trackingNetwork configurationHardware inventoryArduinoSensorsRemote communication modulesMachine LearningEmbedded SystemsJava SwingDecision TreesLEDs

Projects

American Sign Language Recognition

Developed a real-time ASL recognition system using computer vision and machine learning. Implemented and compared CNN, LSTM, GRU, SVM, and Decision Tree approaches for gesture classification. Technologies: Python, OpenCV, Keras, CNN, LSTM, GRU, SVM, Decision Trees, Pandas, NumPy. Duration: Jan 2020 - Jun 2020.

Airline Reservation System

Built a Java Swing application for flight booking and user management, with MySQL-backed storage for reservation workflows and transaction records. Duration: Jul 2020 - Dec 2020.

Credit Card Fraud Detection

Developed classification models to identify fraudulent and genuine credit-card transactions using Random Forest, SVM, Logistic Regression, and neural-network algorithms. Technologies: Python, Machine Learning. Duration: Jan 2021 - Apr 2021.

Home Automation System

Developed an Arduino-powered system for smart-device control and integrated sensors and remote communication modules for monitoring and control. Duration: May 2021 - Aug 2021.

Propeller Clock

Created a persistence-of-vision display that simulates floating time using spinning LEDs. Technologies: Embedded Systems, LEDs. Duration: Sep 2021 - Oct 2021.