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Ganesh Polimera

Data Analyst | Network Management | IT Support

Contact Information

Resume

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Summary

Network Management: Managed LAN/WAN infrastructure, optimized performance, and ensured network reliability.
IT Support & Troubleshooting: Resolved technical issues efficiently using ticketing systems and clear documentation.
Leadership & Certifications: Led upgrade projects, trained peers, and applied CCNA & AWS knowledge to enhance team skills.

Skills & Technologies

LAN/WAN Support
Java
Firewalls
IP Configuration
Network Monitoring
Ticketing Systems
Git/GitHub
REST/SOAP APIs
Excel
PowerBI
PHP
JavaScript
HTML5
CSS3
MySQL
pgAdmin
WordPress
Shopify
Wix
System Administration
Responsive UI/UX
Web Hosting & Deployment

Experience

OpenText | GIS Developer (Dec 2022 - Jun 2023)

  • Built and improved internal web tools using JavaScript and SQL, contributing to GIS analytics and dashboards.
  • Developed filtering and time zone alignment logic for critical test data (DRP-related), improving data consistency.
  • Participated in product enhancement sprints and collaborated with cross-functional teams.

DPD Housing India Pvt. Ltd. | Admin & Web Developer (June 2021 – Nov 2022)

  • Administered LAN/WAN configurations and provided real-time IT support for 50+ internal users.
  • Troubleshot network connectivity and hardware/software issues using internal ticketing systems.
  • Managed system updates, antivirus, backups, and firewall settings to ensure network stability.

Project Showcase

SENTIMENT ANALYSIS ON COVID RELATED TWEETS

Description: Built an NLP-based sentiment classifier that outperformed baseline models by 10%, achieving 77% test accuracy.
Problem Solved: Analyzed 10K+ real-time tweets to extract public sentiment trends during the pandemic.
Technologies: Python, NLP, Tokenization, Lemmatization
My Role: Designed and implemented preprocessing, feature engineering, and model evaluation.

Brain Tumor Segmentation using Attention Gate Res-U-Net

Description: Developed a deep learning model for automated brain tumor detection, achieving a Dice coefficient of 0.7446.
Problem Solved: Improved segmentation accuracy by 15% and reduced false positives by 10% using attention gates.
Technologies: Python, TensorFlow, Keras, Deep Learning
My Role: Model architecture, training, and evaluation on 600 MRI images.

Heart Attack Visualization

Heart Attack Risk Visualization

Description: Created an interactive dashboard visualizing heart attack risk factors and case distributions across age groups, using 50,000+ cases.
Problem Solved: Enabled exploration of risk factors using data from NHANES, MIMIC-IV, CDC, and AHA.
Technologies: PowerBI, Excel, Data Visualization
My Role: Data analysis, dashboard design, and reporting.

Education

Courses and Certifications