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EMAIL AVAILABLE PHONE NUMBER AVAILABLESUMMARY OF QUALIFICATIONSProven Experience: Hands-on experience with real-time data processing, cybersecurity, and sentiment analysis through diverse projects.Technical Proficiency: Skilled in Python, Java, and Hadoop with a strong understanding of machine learning and NLP.Academic Background: Solid foundation in Computer Science with both undergraduate and graduate education.Problem-Solving Skills: Demonstrated ability to tackle complex problems and deliver innovative solutions.OBJECTIVEAspiring Technology Intern aiming to contribute to AIGs technological transformation. Seeking to apply my academic knowledge in Computer Science, my passion for innovation, and problem-solving skills to support and drive IT projects, while gaining hands-on experience in a dynamic, global environment.EDUCATIONMaster of Science in Computer ScienceCalifornia State University, Fresno (Fresno State) 2023  Present GPA: 3.16Bachelor of Technology in Computer Science Engineering JNTUH 2019  2023Aggregate: 75%SKILLS & TECHNOLOGIESProgramming Languages: Java, Python, C++, HTML & CSS Operating Systems: Windows, LinuxDevelopment Tools: DevOpsDatabase: Database Management Systems (SQL, NoSQL) Interests: Neural Networks, Artificial Intelligence, Cybersecurity PROJECT EXPERIENCE1. Public Health Emergency Service (Java)Developed a system for 108 Public Health Emergency Services aimed at revolutionizing medical service delivery, including ambulance and first aid systems. 2. Detection of Crop Diseases Using Deep LearningDeveloped a crop disease recognition model using deep convolution networks to classify leaf images and identify diseases based on environmental conditions. 3. Image Encryption and Decryption (Java)Designed and implemented an image encryption and decryption system, utilizing a key-based mechanism to secure and retrieve images.4. Real-Time Data Processing for Insurance Claims (Python, Hadoop) Developed a real-time data processing pipeline to streamline insurance claims processing using Hadoop. The system optimized data input, processing, and storage. Improved claims processing efficiency by 30% through automation and real-time data handling. 5. Cybersecurity Risk Assessment Tool (Python, SQL) Created a cybersecurity risk assessment tool that evaluates an organizations vulnerability to cyber threats. The tool generates reports and suggests risk mitigation strategies based on data analytics and machine learning algorithms. Reduced risk assessment time by 40% and improved accuracy of threat classification with machine learning algorithms. 6. Customer Sentiment Analysis (Python, NLP)Developed a sentiment analysis tool using Natural Language Processing (NLP) to analyze customer feedback and improve decision-making for product and service enhancements. The model provided actionable insights into customer satisfaction. Increased customer satisfaction scores by 15% by providing actionable insights from feedback analysis. SOFT SKILLSCommunication: Effectively conveyed complex technical concepts to non-technical stakeholders.Team Collaboration: Worked successfully in cross-functional teams on multiple projects.Adaptability: Quickly learned and applied new technologies and methodologies to meet project goals.