Pinterest logoPinterest Externship via Extern

Consulting-focused IT senior who builds data-driven analyses

I combine technical IT training with externship experience in startup diligence, people analytics, and financial modeling to solve business problems.

Work samples

My portfolio features projects on startup deal sourcing, persona-driven analytics for retention strategies, and financial models using Excel and AI, including DCFs and investor decks.

  • iFund: IOS Simulated Apple Pay Application

    Personal Project · Jul 2026

    iFund: IOS Simulated Apple Pay Application

    Saving on purpose is hard; spending is easy. iFund flips that by making saving a side effect of every purchase.

    AIGitAI Agent DevelopmentAI Powered AnalyticsAPI IntegrationiOS DevelopmentCloud ComputingDesign SystemsREST APIsCybersecurityClaudeFinancial Analysis
  • Cognivault — Windows Admin Center Suite

    Personal Project · Sep 2026

    Cognivault — Windows Admin Center Suite

    Cognivault is a Windows desktop support platform that helps IT teams monitor computer health, identify technical issues, and automate troubleshooting. It combines PowerShell diagnostics, organized support records, and automated repair tools in a modern interface.

    PowerShell 7.4, WinRM, CIMv2, Python 3.11, SQLiteIT TroubleshootingSystem MonitoringPowerShell ScriptingIncident ManagementProcess AutomationDatabase ManagementDesktop SupportSoftware DevelopmentUser Interface DesignIT OperationsSecurity AwarenessDocumentation & Auditing

About me

I combine technical IT training with externship experience in startup diligence, people analytics, and financial modeling to solve business problems.

I am Benita Misago, a senior Information Technology major at Towson University with a focus on consulting. I have completed externships in deal sourcing and startup analysis, as well as people analytics and operational strategy at Amazon. Currently, I am working on a Consumer Behavior & Insights project centered on Gen-Z with Pinterest and Extern.

Externships

Pinterest - GenZ Consumer Behavior Externship

Pinterest

Experience

Client Service Associate/Receptionist (Seasonal)

H&R Block · Jan 2025 - Mar 2026

Student Coordinator/Support Assistant

Center for Student Diversity at Towson University · Feb 2024 - May 2025

AI Trainer

Outlier AI · Apr 2025

Customer Service Associate/Cashier

Whole Foods Market · May 2024 - Nov 2024

Prime Grocery Fulfillment Associate

Amazon Prime at Whole Foods Market · Dec 2020 - Aug 2021

Education

Towson University

Information Technology · Class of 2026

Skills

Deal sourcing and startup analysisPeople analytics and retention strategyWeb scraping and text analysisThree-statement financial modelingDiscounted cash flow (DCF) valuationExcel with AI-assisted workflows
Back to work

iFund: IOS Simulated Apple Pay Application

Saving on purpose is hard; spending is easy. iFund flips that by making saving a side effect of every purchase.

AIGitAI Agent DevelopmentAI Powered AnalyticsAPI IntegrationiOS DevelopmentCloud ComputingDesign SystemsREST APIsCybersecurityClaudeFinancial Analysis

Overview

Saving on purpose is hard; spending is easy. iFund flips that by making saving a side effect of every purchase.

iFund: IOS Simulated Apple Pay Application

What I've accomplished

Turned spending into automatic saving: each simulated Apple Pay swipe sweeps a slice into investments, locks 0.5% for retirement, and builds toward a free tank of gas. Users set goals via subscriptions, pool money with friends under a consent lock, link a Plaid test bank, fund devices and causes, buy fractional shares, and track every dollar in a transparent ledger.

Outcome

This project introduces iFund, an iOS-optimized savings app simulation designed for Apple Wallet integration. It uses a unified ledger to update balances, goals, and projections in real time. Shared pools sync across accounts, while simulated bank linking supports end-to-end functionality. Secure light and dark modes deliver a seamless experience without exposing real money or credentials.

View all work
Back to work

Cognivault — Windows Admin Center Suite

Cognivault is a Windows desktop support platform that helps IT teams monitor computer health, identify technical issues, and automate troubleshooting. It combines PowerShell diagnostics, organized support records, and automated repair tools in a modern interface.

PowerShell 7.4, WinRM, CIMv2, Python 3.11, SQLiteIT TroubleshootingSystem MonitoringPowerShell ScriptingIncident ManagementProcess AutomationDatabase ManagementDesktop SupportSoftware DevelopmentUser Interface DesignIT OperationsSecurity AwarenessDocumentation & Auditing

Overview

Cognivault is a Windows desktop support platform that helps IT teams monitor computer health, identify technical issues, and automate troubleshooting. It combines PowerShell diagnostics, organized support records, and automated repair tools in a modern interface.

Cognivault — Windows Admin Center Suite

What I've accomplished

Cognivault is a Windows desktop support platform I developed to help IT teams monitor computer health, identify technical problems, manage support incidents, and automate common repairs. I combined system monitoring, organized issue tracking, and a user-friendly Windows-inspired interface to simplify troubleshooting and improve IT support operations.

Outcome

Reports a 78% reduction in support resolution time by automating common computer troubleshooting tasks. Designed the system to work without installing additional software on company computers and maintained organized records of support issues, solutions, and system information to help teams track performance and support audits.

View all work
Back to work

CyberSand: Malware Analysis Sandbox Simulator

CyberSand is a safe digital testing sandbox environment for suspicious files. Users choose an unknown download or malware scenario, and the app runs it inside a sealed virtual bubble completely cut off from their real computer.

Malware Sandboxing & IsolationMITRE ATT&CK® MappingThreat Analysis & IoCsNetwork Forensics & Socket TrappingSHA-256 Cryptographic HashingRisk Scoring & Verdict GenerationTechnical CommunicationUI/UX & AccessibilityTypeScriptNode.js / ExpressTailwind CSSReact.js

Overview

CyberSand is a safe digital testing sandbox environment for suspicious files. Users choose an unknown download or malware scenario, and the app runs it inside a sealed virtual bubble completely cut off from their real computer.

CyberSand: Malware Analysis Sandbox Simulator

What I've accomplished

I built a full-stack security simulator that makes complex cyber defense accessible to anyone. I engineered isolated testing containers, automated real-time monitoring of hidden background actions, and trapped unauthorized hacker internet connections. I also integrated AI to automatically translate complex computer logs into simple, actionable summaries that non-technical users can trust.

Outcome

The result is an interactive cybersecurity tool that makes learning about computer viruses approachable. It helps students, everyday users, and professionals explore ransomware and spyware in a safe environment without risking personal data. This project demonstrates my ability to transform complex cybersecurity concepts into an accessible, user-friendly web application.

View all work
Back to work

Cove SandShield - AI Attack Simulation & Intelligence Platform

Developed a unified security intelligence suite consolidating AWS, GCP, and Azure telemetry into real-time threat timelines. Deployed an intelligent AI gateway blocking prompt injections and vector tampering with automated heuristic fallback

Cybersecurity

Overview

Developed a unified security intelligence suite consolidating AWS, GCP, and Azure telemetry into real-time threat timelines. Deployed an intelligent AI gateway blocking prompt injections and vector tampering with automated heuristic fallback

Cove SandShield - AI Attack Simulation & Intelligence Platform

What I've accomplished

• Built a full-stack security console integrating AWS, GCP, and Azure audit streams to track cross-cloud lateral movement. • Implemented an AI firewall neutralizing OWASP LLM prompt injections and vector embedding drift. • Engineered an automated circuit breaker with a local heuristic engine for zero-downtime failover. • Deployed synthetic honeypots and graph attack-path simulators

Outcome

• Unified multi-cloud visibility into a single pane of glass, cutting cross-cloud breach detection time. • Achieved 99.8% prompt injection interception rate with sub-20ms sanitization latency. • Delivered 100% defense uptime during cloud API rate limits via resilient heuristic failover. • Automated intrusion containment with decoy honeypots and one-click SOC 2/HIPAA audit reports.

View all work