Computer Science Machine Learning

AREPALLY VARDHINI

****************@*****.*** +1-559-***-****

SUMMARY OF QUALIFICATIONS

Proven 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.

OBJECTIVE

Aspiring Technology Intern aiming to contribute to AIG’s 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.

EDUCATION

Master of Science in Computer Science

California State University, Fresno (Fresno State) 2023 – Present GPA: 3.16

Bachelor of Technology in Computer Science Engineering JNTUH 2019 – 2023

Aggregate: 75%

SKILLS & TECHNOLOGIES

Programming Languages: Java, Python, C++, HTML & CSS Operating Systems: Windows, Linux

Development Tools: DevOps

Database: Database Management Systems (SQL, NoSQL) Interests: Neural Networks, Artificial Intelligence, Cybersecurity PROJECT EXPERIENCE

1. 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 Learning

Developed 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 organization’s 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 SKILLS

Communication: 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.

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