Digital forensic and cyber security

Steve Correia

Albany, NY +1-518-***-**** **************@*****.*** · LinkedIn · GitHub

SUMMARY

Cybersecurity & Digital Forensics Professional. Expertise in CCNA, CEH, and Security+, with hands-on experience in threat detection, incident response, packet analysis, and forensic investigations. Proficient in Nmap, Wireshark, security monitoring, SOC operations, detection playbooks, and cybersecurity analysis. Strong leadership in team projects, excelling in critical thinking, collaboration, and communication. Passionate about advancing cybersecurity initiatives and protecting critical assets in a dynamic environment. With a strong academic background, including a master's degree in digital forensics and cybersecurity at the University at Albany (SUNY), securing a 4.0 GPA, and building advanced expertise in cybersecurity operations and risk management.

SKILL SET

Tools & Technologies: Burpsuite, Wireshark, Metasploit, Nmap, Tableau, Cisco Packet Tracer, SIEM Qradar & Splunk, GitHub, MS Office suite, Apache Server, phpMyAdmin Programming Languages: Python, C, R Programming, Java, SQL, HTML, PHP Operating Systems: Kali Linux, Windows, Ubuntu, Android, Database: SQL, MongoDB, MySQL

Applications: Word, Excel, PowerPoint, Smartsheet

Core Competencies: Penetration Testing, Vulnerability Management, SIEM Management, Network Forensics, Log Analysis, Incident Handling, Data Visualization, Alert Monitoring, Threat Detection, Packet Analysis EXPERIENCE

EDUCATION

Master of Science: Digital Forensics and Cyber Security, University at Albany (SUNY) December 2025

• Coursework: Penetration testing, Exploiting Vulnerabilities, OSINT, Vulnerability Assessment, Incident Response and Handling

Bachelor of Engineering: Information Technology, Mumbai University May 2024

• Coursework: Cryptography and System Security, Computer Networks, Network Security, Application Security, Digital Forensics, Data Analytics.

PROJECTS

Sign Language Translator using live dataset

• Enabled seamless communication between hearing-impaired individuals and non-sign language users.

• Implemented gesture classification using machine learning models to improve accuracy and responsiveness

• Processed real-time hand gesture data to match and translate signs efficiently. Credit Card Fraud Detection System

• Developed a Credit Card Fraud Detection System using deep learning models to identify fraudulent transactions.

• Analyzed transaction patterns from a real-world dataset to enhance fraud detection accuracy.

• Implemented anomaly detection algorithms to predict and flag suspicious activities in real-time. Speed and Sound Detection System

• Designed and implemented hardware-based sensors for real-time detection of vehicle speed and ambient sound levels.

• Integrated alert mechanisms to warn drivers and authorities of violations, enhancing public safety.

• Utilized microcontrollers and signal processing techniques for accurate monitoring and response. CERTIFICATIONS

• Mastercard Cybersecurity virtual experience program on Forage - March 2025 Completed a job simulation where I served as an analyst on Mastercard’s Security Awareness Team

• AIG Shields Up: Cybersecurity virtual experience program on Forage - March 2025 Completed a cybersecurity threat analysis simulation for the Cyber Defense Unit, staying updated on CISA publications.

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