Hey, I'm Haseena Syed

A Masters in Information Security graduate

"I am eager to apply my academic knowledge and hands-on experience to dynamic roles in software development, data analyst, network engineering, or cybersecurity. Throughout my academic journey, I have developed a strong foundation in securing information systems, network infrastructures, and software applications."

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AWS Certified Cloud Practitioner Badge

My Experience

Research Assistant

University of the Cumberlands

Conducted research in Information Systems Security, focusing on network vulnerabilities and security protocols. Collaborated with faculty and peers to analyze data, perform penetration testing, and contribute to academic publications. Utilized tools such as Wireshark and Metasploit to assess and enhance system security. Assisted in preparing reports and presenting findings at departmental meetings.

My Project's

Cloud-Based Data Pipeline for Real-Time Analytics

Built an end-to-end data pipeline using AWS, Python, and Power BI to process and analyze real-time log data. Automated ETL workflows reduced latency and manual effort by 40%, while dashboards enabled faster incident detection and data-driven decisions.

Exploratory Data Analysis on Security Incident Data

Performed statistical analysis and visualizations on historical security data using Python and Excel. Insights led to a 15% reduction in recurring incidents by influencing updated monitoring policies.

Business Metrics Dashboard for Research Operations

Developed a dynamic Power BI dashboard integrated with SQL-based data extraction to track research KPIs. Enhanced visibility and stakeholder engagement accelerated operational planning and reporting.

Data-Driven Web Application for Secure User Management

Engineered a secure Spring Boot-based web application with MySQL backend and AWS integration. Implemented role-based access control and audit logging, improving user onboarding and compliance monitoring.

Network Traffic Analysis & Reporting Automation

Automated network traffic analysis using Wireshark and Python, generating reports on usage patterns and anomalies. Reduced reporting time by 50% and improved detection of irregular network activity.

I'd Love To Connect With You