Headline

Entry-Level Cybersecurity Analyst | CCNA & CEH Certified | Network Security • Ethical Hacking • AI/ML Threat Detection • Oracle Certified

About

CCNA & CEH certified cybersecurity professional specializing in network security, ethical hacking, and AI-driven threat detection. Your forensic analytics + NLP threat classifier (94% accuracy) work — keep the real numbers, they're strong signal. State target roles explicitly (SOC Analyst, Cybersecurity Analyst, Network Security) + open to opportunities line.

Location

Mumbai

Work experience

Power App and Automation Intern at Springer Capital, LLC, Jan 2026 - Present · 8 mos, Remote, • Built a dynamic HR dashboard in Power BI consolidating workforce metrics and KPIs, supporting data-informed leadership decisions — mirroring SOC-style operational monitoring and reporting. • Developed an Inventory Management application in Power Apps and engineered trigger-based Power Automate workflows, reducing manual tasks and improving operational efficiency. • Demonstrated ability to translate security monitoring principles into scalable dashboard solutions for non-technical stakeholders.

Automation Specialist at Springer Capital, Jan 2026 - Present · 8 mos, Built a dynamic HR dashboard in Power BI consolidating workforce metrics and KPIs, supporting data-informed leadership decisions — mirroring SOC-style operational monitoring and reporting. Developed an Inventory Management application in Power Apps and engineered trigger-based Power Automate workflows, reducing manual tasks and improving operational efficiency. Demonstrated ability to translate security monitoring principles into scalable dashboard solutions for non-technical stakeholders.

Artificial Intelligence Intern at Intrainz, Oct 2025 - Dec 2025 · 3 mos, Remote, Artificial Intelligence Intern — Intrainz Innovation Pvt. Ltd. Bengaluru, Karnataka October 2025 – December 2025 Intrainz Innovation is an early-stage tech company focused on applied AI and machine learning solutions. As an AI Engineer Intern, I contributed to end-to-end ML pipelines — from raw data to deployable models — working on real-world classification and clustering challenges. - Developed and trained machine learning models for a spam news detection system, applying NLP-based classification techniques to distinguish misinformation from credible content with measurable accuracy improvements. - Implemented end-to-end data preprocessing pipelines using Python, Pandas, and NumPy — cleaning, transforming, and structuring raw datasets to ensure model-ready data quality. - Built an unsupervised K-Means clustering solution to segment and analyze patterns in unlabeled datasets, demonstrating applied knowledge of unsupervised learning algorithms. - Engineered reusable Python scripts for data wrangling and feature engineering, reducing manual data preparation effort and improving workflow efficiency across projects. Skills: Machine Learning· Python · Pandas · NumPy · NLP · Data Preprocessing · Clustering Algorithms

Data Analyst at Deloitte Australia, Sep 2025 - Oct 2025 · 2 mos, Cleaned and analyzed enterprise datasets with 10,000+ records, reducing data inconsistencies by ~30%; built Tableau dashboards tracking churn and KPIs for stakeholder reviews — skills directly transferable to SIEM log analysis and incident reporting. Delivered a forensic risk assessment identifying 3 key customer risk segments using advanced Excel functions, demonstrating structured analytical thinking applicable to threat triage and risk classification.

Education

Bachelor's Degree, Information Technology, Chhatrapati Shivaji Maharaj University, Panvel

Bachelor of Science, Information Technology, Chhatrapati Shivaji Maharaj University