Help & Supportcareers@gravityer.com
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Cybersecurity Analyst with 1+ years in AI & Security Operations.
MITANSH RASTOGI is an aspiring professional with foundational experience in AI and cybersecurity. Possessing strong skills in machine learning, network security, and threat intelligence, Mitansh has actively contributed to projects involving anomaly detection, malicious URL detection, and spam classification. He is proficient in Python and C++ and has practical experience with tools like Illumio Core, Microsoft Defender, and Azure Security Center, aiming to leverage his technical expertise for real-time threat monitoring and user behavior analysis.
Meerut Institute of Technology
Bachelors in Computer Application
N/A – Present
Code Alpha
Cyber Security Analyst
July 1, 2025 – August 1, 2025
India
Indian Institute Of Technology-Ropar
Minor In AI
August 1, 2024 – July 1, 2025
India
Spam Email Classifier
June 28, 2026 – Present
Developed a machine learning model to classify emails as spam or non-spam using Natural Language Processing (NLP). Converted email text into numerical features using TF-IDF vectorization. Achieved over 95% accuracy in detecting spam emails on a labeled dataset.
Anomaly Detection in Login Logs
June 28, 2026 – Present
Designed and implemented a system to detect anomalies in login logs using unsupervised machine learning techniques. Achieved high precision in identifying abnormal login behavior without labeled data. Demonstrated the use of AI in cyber security for real-time threat monitoring and user behavior analysis.
Visualizing and Enforcing Micro-Segmentation with Illumio
June 28, 2026 – Present
Implemented and visualized workload segmentation using Illumio Core. Applied Zero Trust policies on virtual machines, restricted lateral movement and demonstrated visibility into internal traffic flows.
Malicious URL Detection
June 28, 2026 – Present
Engineered features from URLs (length, domain, use of symbols, etc.) to improve model accuracy. Achieved over 90% accuracy in detecting suspicious URLs and preventing potential phishing attacks.
EHE - Ethical Hacking Essentials
EC-Council
June 1, 2026 – Present
NDE - Network Defense Essentials
EC-Council
June 1, 2026 – Present
DFE - Digital Forensics Essentials
EC-Council
June 1, 2026 – Present
Cyber security Analyst Professional Certificate
Microsoft
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from AI/ML in cybersecurity to micro-segmentation, indicates a proactive and curious mindset. The certifications from Microsoft and EC-Council show a commitment to continuous learning and professional development, which aligns well with a dynamic cybersecurity environment. The 'Minor in AI' internship suggests an interest in interdisciplinary approaches to security. However, the overall experience level is entry-level, which might require more mentorship and integration into a senior team.
Soft Skills & Operational Fit
The candidate lists communication, teamwork, problem-solving, and critical thinking as soft skills. Project descriptions suggest an ability to work on complex problems independently. The internship experience, though brief, indicates exposure to operational security tasks like log monitoring and report generation. However, the limited professional experience makes it difficult to fully assess operational fit and collaboration in a team setting.