Data Engineer

• Oct 2023 - Present

Data Engineer Intern

• Feb 2023 - Sep 2023

● AIOps Framework Development: Designed and implemented a cutting-edge AIOpsarchitecture that harnesses the power of Big Data, AI, and Machine Learning torevolutionize IT equipment supervision.● Enhanced Real-Time Supervision: Successfully upgraded the IT equipment supervision system, incorporating additional real-time metrics for a comprehensive view of system health and performance.● Predictive Analytics Implementation: Integrated predictive analytics into the AIOpsframework, enabling the system to forecast potential issues in IT equipment within a24-hour timeframe.● Data Collection and Processing: Implemented robust data collection mechanisms to gather extensive data from various IT equipment sources, forming the foundation for accurate insights.● Advanced AI Algorithms: Employed sophisticated AI algorithms to analyze the collected data, identifying patterns, anomalies, and trends that would be otherwise overlooked.● Machine Learning Models: Developed and trained machine learning models to detectearly signs of potential problems in IT equipment based on historical data and current trends.● Automated Alerts: Created an alerting system that triggers notifications when the AI detects unusual behavior or predicts a future issue, enabling proactive responses.● Real-Time Dashboards: Designed intuitive and informative dashboards that displayreal-time metrics and predictions, facilitating quick decision-making. Show less

Security Operations Center

• May 2022 - Jul 2022

● Automated Workflows: Created streamlined incident response workflows using TheHive and IBM QRadar, optimizing the SOC's response process. ● Effective Triage: Developed automated incident categorization, leading to quicker and more accurate prioritization of incidents. ● Platform Integration: Seamlessly integrated TheHive and IBM QRadar, improving data correlation and analysis. ● Automated Workflows: Created streamlined incident response workflows using TheHive and IBM QRadar, optimizing the SOC's response process. ● Effective Triage: Developed automated incident categorization, leading to quicker and more accurate prioritization of incidents. ● Platform Integration: Seamlessly integrated TheHive and IBM QRadar, improving data correlation and analysis.

Call Center Agent

• Jun 2019 - Sep 2019