• Identified and exploited more than 200 vulnerabilities across over 50 vulnerable systems as a way of becoming a better penetration tester and security engineer• Ranking in the top 0.7% of all TryHackMe penetration testers (the largest cybersecurity real-world lab service in the world) due to being consistent, diligent, and finding creative avenues for the presence of attack vectors• Writing and publishing official writeups to teach the public on how to secure systems in an engaging, real hands-on way while at the same time learning as much as possible about security from both blue and red team perspectives

• Designed, developed, and built two web scraping scripts that scraped the Google Play Store and LinkedIn for marketing and recruitment purposes, respectfully.• Used the automated testing framework Selenium extensively to achieve the desired product.• Created a GUI for both scripts using Tkinter to provide the product in a digestible way to non-technical employees.• Created a new opportunity for the team to save time on recruitment and marketing process.

• Acted as the data analyst on a team of five members.• Examined the impact of the COVID-19 pandemic on the ridership levels of the local transit providers in the Washington Suburban Transit District, consisting of Montgomery and Prince George's counties by identifying passenger trends during the pandemic as compared to pre-pandemic levels.• Used OpenRefine and Python to clean, wrangle, and analyze the data provided. Created Jupyter Notebooks to help create visualizations and scripts that allowed us to fulfill our clients request.• Enabled the WSTC to avoid the need to hire a professional Data Analyst team amounting to thousands of dollars saved.

• Winner of Best Expression of Results Award• Used an API created by The University of Maryland and Carnegie Mellon University in collaboration with Facebook Data for Good to create an analysis of COVID Symptoms and Survey indicators based on the Schengen Region of Europe where borders are open to travel.• Built a program that calls the API in a series of loops, collecting survey results by date and storing them in a single CSV file. Using this file, created another program that created individual CSV files for each country specified.• Using the multiple CSV files as data, wrote several scripts that plotted the data using Matplotlib, showcasing the results in various ways that enabled us to analyze as a whole or compare several countries.