Business intelligence analyst with 4+ years of experience delivering reporting, automation, and data quality improvements that support leadership visibility and operational performance.
Delivered reporting solutions that improved leadership visibility, streamlined recurring client deliverables, and strengthened data quality controls across operational workflows.
Increased report generation efficiency by 86% through standardized reporting and a VBA tracking system that reduced manual follow-up and improved reporting oversight. Maintained productivity and continuity of operations while absorbing the workloads of two additional analysts following their departure.
Built a live investor dashboard that consolidated market activity, company disclosures, news, and catalyst tracking into a centralized decision-support view.
Created a VBA-based tracking system that improved report status visibility, reduced manual follow-up, and strengthened oversight of recurring reporting workflows.
Launched a self-updating SSRS dashboard that provided leadership with a more reliable view of monthly and year-to-date collections performance.
Designed a VBA-based payment entry interface that standardized intake, reduced manual effort, and improved consistency across record updates.
Produced a SQL validation report that identified stale or missing table refreshes and improved visibility into overnight data update health.
Built a stronger foundation in penetration testing, vulnerability analysis, and security assessment through coursework in Penetration Testing and Vulnerability Analysis, Networks, and Network and Security Applications.
Developed academic grounding in cyber defense, digital forensics, information security management, cloud security, cryptography, and legal issues in information security.
Strengthened understanding of cloud security, information systems protection, security governance, legal issues, and technology ethics as they relate to organizational risk and information assurance.
Built a home network monitoring dashboard to consolidate device status, network activity, and service health into a single operational view for ongoing visibility across the lab environment. The dashboard was designed to turn raw system and network signals into a reviewable monitoring surface rather than a static lab screenshot, making it easier to track host behavior, spot changes in status, and support follow-up investigation.
Built a Python-based DLP platform that scanned files for sensitive data, applied rule-based classification, tracked scan inventory, and supported quarantine and incident-reporting workflows. The project focused on how sensitive-data findings move from detection to action: matching policy logic against file contents, recording what was flagged, and generating an evidence trail that could support review, escalation, or remediation decisions.
Assessed approved Proxmox-related hosts with Nmap and packet-capture tooling to identify exposed services, distinguish management-plane exposure, and document scan behavior at the packet level. The assessment confirmed Proxmox API exposure on a management-oriented node, captured the probe-and-response behavior behind the scan results, and documented repeated service patterns across adjacent hosts so the findings could be reviewed as an exposure analysis rather than a simple port list.
Built a lightweight vulnerability analysis workflow from approved host scan data to triage exposed services, highlight management-plane risk, identify repeated configuration patterns, and convert technical findings into a remediation-focused review. Instead of stopping at enumeration output, the workflow ranked which exposures mattered most, separated broad exposure from repeated baseline issues, and organized the results into priority actions that could guide hardening decisions.
Built an incident-response case from approved packet-capture evidence by identifying scan-like traffic, distinguishing closed-port resets from reachable administrative services, and documenting practical triage steps for a management-oriented host. The result was a structured detection-and-response scenario grounded in observable network behavior, with packet evidence, scan correlation, and containment considerations organized into a reviewable incident narrative.