- Collected data via web scraping and advanced techniques with Python libraries, creating a structured dataset for analysis
- Crafted and labelled data, then built and optimized machine learning models, including decision trees and multi-label classification with Scikit-learn, improving performance
- Analyzed behavioral patterns with Matplotlib and Seaborn, enhancing understanding of user behavior
- Documented and reported findings with Jupyter Notebooks and Microsoft Office, delivering actionable
Freelancer
May 2023 - November 2023
Skills
Active DirectoryAmazon Web ServicesApplication Programming Interfaces (APIs)Artificial IntelligenceAutomationBash ShellBehaviour TherapyBlue Team (Cyber Security)BurpsuiteCarrying out AssessmentsCloud ComputingCloud Computing SecurityCloud ServicesCommunication SkillsComputer NetworksComputer ProgrammingComputer SecurityContinuous IntegrationC++ (Programming Language)CryptographyCustomer ServiceDecision TreesEthical HackingFirewalls (Computer Science)GithubIncident ResponseInformation TechnologyJava (Programming Language)JupyterKali LinuxKnowledge of EngineeringKnowledge of Standards ComplianceMachine LearningMatplotlibMicrosoft AccessMicrosoft AzureMicrosoft OfficeNetwork SecurityNmapOperational SystemsPayment SystemsPCI Data Security StandardsPresentationsProblem SolvingPython (Programming Language)Research SkillsRestful APIsSafety PrinciplesScikit LearnScriptingSecurity Information and Event ManagementSecurity TestingSimulationsSoftware SecuritySoftware System Penetration TestingSplunkSQL DatabasesUbuntu (Operating System)Virtual Private Networks (VPN)VulnerabilityVulnerability AnalysisWeb ApplicationsWeb DevelopmentWeb ScrapingWindows PowerShellWireshark