Network Engineer

Giduthuru Naga Venkata Sai Tejesh

551-***-**** *********@*****.*** LinkedIn

EDUCATION

Felician University Rutherford, NJ, USA

Master of Science in Computer Science CGPA: 3.788/4 Expected May 2025 GITAM University Visakhapatnam, India

Bachelors in Computer Science CGPA: 6.40/10 June 2017 – July 2021 TECHNICAL SKILLS

• Programming Languages: Proficient: (Python, C++), Intermediate: (Java, C)

• Machine learning: Intermediate: (Pandas, NumPy, Apriori, Pyfpgrowth, nCOVnet and Sklearn)

• Web Technologies: Intermediate: (MySQL, JDB, ER Diagram)

• Network Engineering and Administration: Wireless design, high-level design, low-level design, staging, and configuration of the wired and wireless devices in data centers. EXPERIENCE

Network Engineer and Administrator – TCS, Hyderabad, India November 2021– July 2023

• I'm part of the Data Center Integration team.

• This includes planning, developing, installing, configuring, maintaining, supporting, and optimizing all Network hardware, software, and communication links

• This also includes wireless design, high-level design, low-level design, staging, and configuration of the wired and wireless devices in data centers.

Associate Software Engineer - Stratus Global India (PVT) Ltd, Hyderabad - India August 2021 – November 2021

• Monitoring Teams across TDIC and CSED and collaborated to improve process performance using agile scrum methodology. ACADEMIC PROJECTS

COVID-19 DETECTION USING CHEST X-RAY

• Developed nCOVnet, a CNN-based method for COVID-19 detection from X-ray images.

• Showcased expertise in machine learning, medical imaging, and healthcare technology.

• Contributed to advancing diagnostic capabilities for COVID-19 through innovative AI-based solutions. Build a Python GUI with Tkinter

• Utilized the Frame class to create the application window, demonstrating proficiency in GUI development.

• Integrated entry widgets for user input, enhancing the application's interactivity and user experience.

• Developed button event handlers and data manipulation methods, showcasing expertise in event-driven programming and dynamic UI management.

Data Mining Functionalities using Python on the FIFA-19 Complete Player Dataset

• Conducted data preprocessing on the FIFA-19 complete player dataset using Python, Pandas, and NumPy.

• Utilized Apriori and Pyfpgrowth for association rule mining to reveal relationships between player attributes.

• Applied Sklearn for clustering analysis to categorize players and unveil data patterns. Railway Management Database System

• Developed a MySQL-based Railway Management database for efficient data maintenance and retrieval.

• Created an ER Diagram using JDB to ensure effective data organization and relationships.

• Implemented user-friendly queries for end-users to inquire about train availability, book and cancel tickets, and check the status of booked tickets.

CERTIFICATIONS

Python for Everybody - Coursera • (Json, Xml, Python Programming, Database (DBMS)) • 2021 Machine Learning Algorithms: Supervised Learning Tip to Tail - Coursera • (Decision Trees and k-NN) • 2021 ACHIEVEMENTS

• Worked as a Teaching Assistant in the CS 380 Data Structures and Algorithms in C++ and working as a Teaching Assistant for CS 360 Database Systems in Felician University.

• Awarded merit financial aid of $2,000 to pursue Masters in Felician University.

• NSS Core Member and has done service for 240 hours. Actively participated in the NSS (National Service Scheme) camp to teach 1st to 5th grade students of GVMC School, Reliveedi, Visakhapatnam.

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