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I am a MAS student at the University of Zurich, graduating January 2026, with a strong interest in ethical hacking, penetration testing, and vulnerability management. I am knowledgeable in OWASP Top 10, network and web application security, and risk assessment methodologies, with hands-on experience using tools like Nmap, Wireshark, and Kali Linux. I am passionate about identifying vulnerabilities and analyzing attack surfaces to help organizations strengthen their security posture. Beyond my cybersecurity focus, I have pursued opportunities in data science and technology through internships and virtual experiences. I’ve worked on ML models for text classification, built automated data pipelines to improve preprocessing efficiency, and contributed to risk assessments and security mitigation strategies. I enjoy applying technical skills to real-world problems and continuously expanding my knowledge across security, data science, and software development.…I am a MAS student at the University of Zurich, graduating January 2026, with a strong interest in ethical hacking, penetration testing, and vulnerability management. I am knowledgeable in OWASP Top 10, network and web application security, and risk assessment methodologies, with hands-on experience using tools like Nmap, Wireshark, and Kali Linux. I am passionate about identifying vulnerabilities and analyzing attack surfaces to help organizations strengthen their security posture. Beyond my cybersecurity focus, I have pursued opportunities in data science and technology through internships and virtual experiences. I’ve worked on ML models for text classification, built automated data pipelines to improve preprocessing efficiency, and contributed to risk assessments and security mitigation strategies. I enjoy applying technical skills to real-world problems and continuously expanding my knowledge across security, data science, and software development.

Mounika Bhargavi Giridi

Programmer, Web Developer, Data Scientist, +2

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I am a MAS student at the University of Zurich, graduating January 2026, with a strong interest in ethical hacking, penetration testing, and vulnerability management. I am knowledgeable in OWASP Top 10, network and web application security, and risk assessment methodologies, with hands-on experience using tools like Nmap, Wireshark, and Kali Linux. I am passionate about identifying vulnerabilities and analyzing attack surfaces to help organizations strengthen their security posture. Beyond my cybersecurity focus, I have pursued opportunities in data science and technology through internships and virtual experiences. I’ve worked on ML models for text classification, built automated data pipelines to improve preprocessing efficiency, and contributed to risk assessments and security mitigation strategies. I enjoy applying technical skills to real-world problems and continuously expanding my knowledge across security, data science, and software development.…I am a MAS student at the University of Zurich, graduating January 2026, with a strong interest in ethical hacking, penetration testing, and vulnerability management. I am knowledgeable in OWASP Top 10, network and web application security, and risk assessment methodologies, with hands-on experience using tools like Nmap, Wireshark, and Kali Linux. I am passionate about identifying vulnerabilities and analyzing attack surfaces to help organizations strengthen their security posture. Beyond my cybersecurity focus, I have pursued opportunities in data science and technology through internships and virtual experiences. I’ve worked on ML models for text classification, built automated data pipelines to improve preprocessing efficiency, and contributed to risk assessments and security mitigation strategies. I enjoy applying technical skills to real-world problems and continuously expanding my knowledge across security, data science, and software development.

Available to hire

I am a MAS student at the University of Zurich, graduating January 2026, with a strong interest in ethical hacking, penetration testing, and vulnerability management. I am knowledgeable in OWASP Top 10, network and web application security, and risk assessment methodologies, with hands-on experience using tools like Nmap, Wireshark, and Kali Linux. I am passionate about identifying vulnerabilities and analyzing attack surfaces to help organizations strengthen their security posture.

Beyond my cybersecurity focus, I have pursued opportunities in data science and technology through internships and virtual experiences. I’ve worked on ML models for text classification, built automated data pipelines to improve preprocessing efficiency, and contributed to risk assessments and security mitigation strategies. I enjoy applying technical skills to real-world problems and continuously expanding my knowledge across security, data science, and software development.

Skills

Python

Experience Level

Python

Expert

Language

English

Advanced

Hindi

Advanced

German

Intermediate

Work Experience

Cybersecurity Intern at Consensus

July 1, 2023 - August 1, 2023

Implemented secure Identity and Access Management configurations during audits and reduced privilege misuse incidents by 30%. Monitored 15+ web applications and email channels, automated detection. Reported on cryptographic vulnerabilities and improved endpoint authentication using certificate pinning practices. Assisted in compliance documentation aligned with ISO 27001.

Cybersecurity Management Virtual Experience at Forage

June 1, 2023 - June 30, 2023

Simulated real-world scenarios to investigate phishing attacks and perform network anomaly detection. Applied PCAP analyst to identify and report security threats in organized networks. Produced detailed risk assessment reports, proposing mitigation strategies to enhance security.

Data Science Intern at Codegnan

August 1, 2022 - November 1, 2022

Developed ML models for text classification, achieving 85% accuracy in spam detection using NLP. Built an automated data collection pipeline, improving data preprocessing efficiency by 30%. Applied sentiment analysis for predictive analytics, enhancing decision-making insights.