Open to opportunities

Suryadevara Nandan

@suryadevaranandan

Entry-level data analyst and cybersecurity intern, building ML-driven anomaly detection and secure steganography solutions.

India

Message

What I'm looking for

I’m looking for an entry-level role where I can apply data analysis and machine learning to real problems, while also using cybersecurity-minded thinking to build secure, reliable systems and improve data pipelines with strong mentorship.

I’m an undergraduate student (B.E Information Science & Engineering) who has built hands-on experience across data analysis and cybersecurity through internships. I enjoy turning messy, real-world datasets into reliable insights using machine learning, evaluation metrics, and well-documented pipelines.

At IBM, I explored data confidentiality/integrity and developed a secure automated steganography framework for hidden data transmission using Python and Linux. At ROOMAN Technologies, I deployed AI-driven anomaly detection for financial transactions, documented the full data pipeline, and practiced data governance and transactional handling—work that shapes how I approach security, performance, and accuracy in every project.

Experience

Work history, roles, and key accomplishments

Data Analyst Intern

Rooman Technologies

Feb 2025 - Jun 2025 (4 months)

Deployed machine learning models with AI-driven anomaly detection to identify irregularities in financial transaction datasets. Built and documented the data pipeline, performed model training and hyperparameter tuning, and evaluated performance using defined metrics.

Machine Learning Anomaly Detection Data Pipelines data preprocessing Hyperparameter Tuning Model Evaluation Data Governance

Cyber Security Intern

IBM

Sep 2023 - Dec 2023 (3 months)

Developed a secure, robust automated steganography framework for hidden data transmission using Python and Linux. Collaborated with mentors to analyze vulnerabilities and propose improvements to data hiding and extraction processes.

Python Linux Automated Steganography Data Integrity Vulnerability Assessment