Raghul G
Networks Operations Associate
Chennai
Summary
Seeking an entry-level position to begin a career in a high-level professional environment to enhance the skills and knowledge along with the organizational objective. To seek and maintain full-time position that offers professional challenges utilizing interpersonal skills, excellent time management and problem-solving skills.
Overview
1
1
year of professional experience
1
1
Certification
2
2
Languages
Work History
Networks Operations Associate
US TECHNOLOGY AND PRIVATE LIMITED
06.2023 - Current
Client : NOKIA NETWORKS AND SOLUTIONS
- Typically interact with systems administration teams or graphical monitoring team
- Troubleshoots and maintains WAN network consisting of multiple WAN links from different service providers connecting to ISPs.
- Provided exceptional customer support by promptly addressing end-user inquiries related to network connectivity or performance.
- Collaborated with cross-functional teams to develop and implement network infrastructure upgrades and expansions.
- Improved network security with installation and configuration of firewalls, VPNs, and intrusion detection systems.
Education
Bachelor Of Engineering - Electronics and Communication Engineering
ADHIYAMAAN COLLEGE OF ENGINEERING
Hosur, India 04.2001 -
Biological Mathematics
BETHEL MATRIC HIGHER SECONDARY SCHOOL
Ambur, India 04.2001 -
SSLC -
BETHEL MATRIC HIGHER SECONDARY SCHOOL
Ambur, India03.2017
Skills
SQL
Projects
STATISTICAL MACHINE LEARNING APPROACHES TO LIVER DISEASES PREDICTION, In this research, the aim was to develop a computer model that can accurately predict liver disease using various classification algorithms such as random forests, perceptrons, decision trees, K nearest neighbors, and support vector machines. The study used data from the UCI repository on liver patients and analyzed and optimized features to improve prediction performance. The results showed that the support vector machine algorithm had the highest accuracy at 78.3%. This model was used to create a system that allows users to enter their blood test report information and receive a prediction of their risk for liver disease. The goal of this work was to improve medical diagnosis through the use of machine learning techniques and to provide clinicians with a tool to assess the risk of liver disease in their patients., liver disease; Machine Learning, Random Forest, KNN, Decision Tree, Supported Vector Machine, 4 Members, Team Member, Supporting role, Machine Learning, Random Forest, KNN, Decision Tree, Supported Vector Machine, Anaconda Navigator, Jupyter Notebook, python, 08/22, 11/22, IBM NALAIYA THIRAN PROJECT
Certification
SQL
Timeline
SQL
12-2023
Networks Operations Associate
US TECHNOLOGY AND PRIVATE LIMITED
06.2023 - Current
Bachelor Of Engineering - Electronics and Communication Engineering
ADHIYAMAAN COLLEGE OF ENGINEERING
04.2001 -
Biological Mathematics
BETHEL MATRIC HIGHER SECONDARY SCHOOL
04.2001 -
SSLC -
BETHEL MATRIC HIGHER SECONDARY SCHOOL
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