Vyshnavi Pidaparthi

• Streamlined deployment processes, resulting in faster application implementation and updates.
• Reduced downtime by proactively monitoring system health and troubleshooting issues promptly.
• Implemented monitoring dashboards that provided real-time visibility into system performance metrics, enhancing decision-making capabilities.
• Developed innovative proof-of-concept projects showcasing advanced features of various cloud platforms, demonstrating their potential benefits across different use cases.

• A data science internship at BIST Technologies provides hands-on learning opportunities
• Gain valuable skills in data analysis, machine learning, and visualization.

• Roadline detection uses computer vision techniques for accurate lane identification
• Machine learning algorithms enhance performance in complex road conditions
• Data preprocessing includes filtering noise and enhancing roadline visibility
• Deep learning models improve detection accuracy in real-time driving environments.

• IBM's artificial intelligence internship through Edunet offers hands-on learning opportunities.
• Gain practical AI skills, industry insights, and real-world project experience.

• Learned keylogger installation techniques and countermeasures during cybersecurity internship program
• Gained experience analyzing keystroke data for potential security vulnerabilities
• Assisted in creating secure environments to detect malicious keylogger software
• Enhanced skills in ethical hacking, focusing on keylogger threat prevention.

1. Developed machine learning models using Google's Teachable Machine platform.

2. Trained models to recognize and classify various objects and gestures for real-world applications.

3. Implemented custom datasets and fine-tuned models for enhanced accuracy and performance.

4. Collaborated with team members to integrate models into interactive projects.