YASASWI VANKAYALAPATI

Master’s in Information Systems student with a solid background in software development and data analytics. Passionate about solving problems through technology and enhancing operational efficiency. Eager to contribute to innovative IT projects and deliver impactful solutions.

Smart Transportation System

Designed and developed an intelligent transportation system that leverages IoT sensors and real-time data analytics to optimize traffic flow and reduce congestion.

Utilized technologies such as IoT, Python, machine learning, and data visualization tools (like Tableau) to create a responsive and efficient traffic management solution.

US Traffic Accident Prediction

Analyzed over 1.5 million traffic accident records using Tableau and SAS Viya to identify trends and patterns in accident occurrences.

Developed predictive models, including Decision Trees, Logistic Regression, and Neural Networks, to forecast future accidents and assess risk factors.

Identified critical factors contributing to accidents, providing actionable insights aimed at improving road safety and informing policy decisions.

AI-Based Fraud Detection System

Implemented a machine learning-based fraud detection system for financial transactions, identifying potentially fraudulent activity in real-time.

Utilized Python and R for data preprocessing, employing various machine learning algorithms to enhance detection accuracy and reduce false positives.

AI Shopping System

Developed a personalized online shopping platform leveraging machine learning algorithms to enhance product recommendations and user engagement.

Improved search accuracy and implemented automated suggestions, resulting in increased sales and better inventory management.

Emphasized scalability, data privacy, and seamless integration with existing systems to create a robust e-commerce solution.

Fake Account Detection Using Machine Learning and Data Science

Developed a machine learning model for identifying fake accounts on digital platforms, employing UML diagrams for system architecture and Python for model implementation.

Focused on enhancing account verification processes and improving security measures to combat fraudulent activities, demonstrating the application of data science in cybersecurity.

• AWS Certified Solutions Architect (Associate), AWS Training, Demonstrates the ability to design scalable cloud solutions.
• CompTIA Security+, Udemy, Validates skills in managing security risks and protecting sensitive business and customer data.
• Certified ScrumMaster (CSM), Scrum Alliance, Showcases knowledge of Agile methodologies and project management in IT development projects.
• Certified in PrivacyOps, Securiti, Provides a strong understanding of global privacy regulations (including GDPR) and automated practices for ensuring data protection and compliance.
• Certified in AI Governance, Securiti, Equips knowledge of AI risk management, compliance, and governance best practices.
• Certified in Cyber Security for Leadership, Great Learning, Focuses on cybersecurity practices and leadership strategies.