• Providing real-time verdicts for unknown files on both static and dynamic malware analysis methods.• Analyze and update our file database with each new software versions to achieve Zero unknown files on our customer end.• Collaborated with the research team to analyze and identify emerging cybersecurity threats and trends.• Performing Pre-Deployment and Post-Deployment testing for Comodo Products.• Played a key role in the continuous improvement of research methodologies and tools to enhance efficiency and accuracy.

•Extensive experience in text summarization techniques for e-books, magazines, research sites, and news aggregator apps.•Skilled in extracting and generating concise summaries to enhance reading efficiency.•Skilled in utilizing natural language processing (NLP) methods to categorize summaries as positive, negative, or neutral, improving content understanding and user engagement.•Demonstrated expertise in building and fine-tuning NLP models to achieve a high level of accuracy (75% and above) for text summarization tasks.•Collaborated effectively with cross-functional teams to define project objectives, develop robust NLP solutions, and deliver successful outcomes aligned with client needs.

• Conducted thorough risk assessments and analysis for insurance applications, ensuring compliance with guidelines and regulations.• Utilized underwriting software and databases to verify data accuracy and assess policyholder information.• Collaborated with brokers, agents, and underwriting team to gather information and resolve discrepancies.• Prepared comprehensive underwriting reports, highlighting risk factors and recommended coverage.• Demonstrated strong analytical skills and attention to detail in evaluating risk factors and determining appropriate insurance coverage.

• Developed a Speech Emotion Analysis project at the Centre for Artificial Intelligence & Robotics (CAIR) - DRDO.• Implemented the use of IBM Watson and EmoLex for analyzing speech emotions.• Utilized R to import speech data and converted it into text format using the IBM Watson API from IBM BlueMix.• Employed the NRC sentiment module for loading and cleaning the text data by removing emoticons and URLs.• Utilized lexical analysis and the NRC Emotion Classifier to accurately predict the emotions conveyed in the speech data.