IT Systems Admin
SES
Total years of experience :17 years, 4 Months
Managed all Servers, Computers, Printers, Access control system,
Kaspersky security center, CCTV, Switches, Routers and firewall !
Manage and maintain Windows server environments, including installation, configuration, and troubleshooting !
Implement and maintain network infrastructure, including routers, switches, firewalls, and Virtual machines !
Conduct regular security assessments, vulnerability scans, and implement security best practices to mitigate risks !
Plan and execute backup and disaster recovery strategies, ensuring data integrity and business continuity !
Provide technical support and guidance to end-users, resolving issues promptly to minimize downtime !
Monitored and maintained server hardware, such as storage, memory, and processors, resulting in a 20% improvement in server performance
and a 10% reduction in hardware-related issues.
Developed and implemented a backup and recovery plan, reducing system downtime by 30% and ensuring business continuity in case of
disaster Implemented a new system security measure, including firewalls and data encryption, resulting in a 50% reduction in security breaches within the first year
Final Project: TempSense Achievement: Developed an IoT-based room temperature monitoring system called TempSense, which provides real-time monitoring and analytics for maintaining optimal room temperature conditions. Key features and achievements include: Sensor Integration: Integrated temperature sensors with IoT devices to collect real-time temperature data from multiple locations within a room. Data Visualization: Developed a user-friendly web interface and mobile application to visualize temperature data in an intuitive manner, allowing users to monitor temperature trends over time. Alerting System: Implemented an alerting system that notifies users via email or SMS when the temperature exceeds predefined thresholds, helping to prevent equipment damage or discomfort due to extreme temperatures. Analytics: Utilized machine learning algorithms to analyze temperature data and predict future temperature trends, enabling proactive temperature regulation and energy optimization. Energy Efficiency: Provided insights into energy usage patterns based on temperature data, allowing users to identify opportunities for energy-saving measures and reduce utility costs.