
Detail-oriented and proactive Cybersecurity Analyst with one year of hands-on experience in threat detection, incident response, and vulnerability management.n using industry-standard tools such as Splunk, QRadar, Nessus, and Wireshark to monitor, analyze, and secure network environments. Knowledgeable in compliance frameworks like ISO 27001 and NIST, with experience in phishing defense, endpoint security, and SIEM log analysis. Adept at collaborating with cross-functional teams, documenting security incidents, and implementing preventive measures to strengthen the organizational security posture. Committed to continuous learning and staying ahead of evolving cyber threats.
I conducted a comprehensive sentiment analysis project on a large Twitter dataset, utilizing natural language processing (NLP) techniques to classify tweets into positive, negative, and neutral sentiments. I performed thorough data preprocessing steps including cleaning, tokenization, and stop-word removal, followed by feature extraction using TF-IDF vectorization. Leveraging machine learning models such as Logistic Regression and Naive Bayes we developed a robust classification system that effectively captured public opinion trends. I also visualized the results through graphs and word clouds, providing valuable insights into social media sentiment patterns that can support decision-making and marketing strategies.