I'm a senior Information Science student at the University of Maryland, specializing in cybersecurity and data-driven solutions. With nearly a year of professional experience at Flexnode, a fast-growing data center startup, I've gained hands-on expertise in securing systems and optimizing operations. Passionate about leveraging technology to solve complex problems, I'm eager to bring my skills to impactful projects.
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• Designed and implemented a Product Risk Calculator to assess potential security vulnerabilities and flaws on company products, considering the product's configurations.
• Reorganized the vulnerabilities database to optimize space, which made queries run quicker while ensuring important historical information was maintained and more easily accessible.
• Participated with several security-focused teams to track, progress, and implement ongoing security projects.
June 2024 - Present
• Optimized advertising strategies by creating SQL queries that revealed trends in certain products.
• Developed a sales projection algorithm in Python to understand the impact of advertisement spending.
• Collaborated closely with the Database Administrator on query development.
- Researched and presented the latest tools in artificial intelligence relevant to the company's operations.
May 2023 - August 2023
• Automated client data capture of insurance vaccination records during the COVID-19 pandemic
• Streamlined the new system to process over 3,000 records with a 50% time reduction.
June 2023 - August 2023
Cleaned and preprocessed 100,000+ transaction records using Python to handle missing values, remove duplicates, and standardize data formats. Developed an interactive Tableau dashboard to analyze Brazilian e-commerce sales, revealing key insights such as $2.3M in total revenue, 75% customer preference for credit card payments, and 60% of sales originating from the Southeast region. The dashboard enabled stakeholders to identify top-performing products, optimize inventory distribution, and improve marketing strategies.
Developed a suite of automated web scrapers using Selenium to extract business data from multiple sources, streamlining lead generation for ISBU. The scrapers were integrated with SQL databases to store and organize extracted data, enabling efficient querying and analysis. This system successfully generated over 1,000 high-quality business leads, significantly enhancing ISBU's outreach and sales pipeline. The project's codebase, available on GitHub, demonstrates robust error handling, modular design, and scalability for future expansion.
Delivered a comprehensive one-hour cybersecurity presentation to 100+ employees at Flexnode, covering essential security principles, updated company policies, and proactive awareness campaigns. Included live demonstrations of the new phishing reporting and training platform, showcasing its features and benefits. Integrated a Power BI dashboard to visualize real-time phishing attempt data, employee training progress, and incident response metrics. The presentation decreased employee phishing susceptibility by 40% and significantly improved compliance with security protocols.
