During my internship in the Security Operations Center (SOC) domain, I actively engaged in Vulnerability Assessment and Penetration Testing (VAPT), monitoring security events, and contributing to significant projects such as Tata Elxsi and Jindal Steels.I performed comprehensive VAPT to identify and assess vulnerabilities in various systems and applications, utilizing a range of tools and methodologies to strengthen security posture. My responsibilities included monitoring security alerts and analyzing potential threats, allowing me to respond effectively to incidents and maintain a secure environment.Being part of high-profile projects enabled me to collaborate with skilled professionals, enhancing my cybersecurity expertise and project management skills. I contributed to the development of security strategies tailored to the unique needs of clients, ensuring their data and infrastructure remained protected against emerging threats.This experience has significantly deepened my understanding of cybersecurity practices and my ability to contribute to critical initiatives in the industry.

1.Developed a sentiment analysis model using Python and TensorFlow to classify COVID-19-related tweets as either Positive or Negative. The model achieved an accuracy range of 85-90%, providing reliable predictions for socialmedia sentiment.2. Utilized pre-processing techniques such as tokenization, stop-word removal, and stemming to clean and prepare thedataset for optimal model performance.3.Implemented the model to assist in tracking public sentiment trends during the pandemic, providing valuable insights for decision-making in health communication strategies.