AVANTHIKA MAKKENA

A driven individual with a strong work ethic, adaptability, and exceptional interpersonal skills, eager to take on new challenges. Capable of quickly acquiring new abilities, working independently, and efficiently completing tasks. Utilizes sophisticated and scalable code to consistently meet project goals. Demonstrates proficient teamwork in collaborative settings, particularly within the context of Agile and Scrum frameworks.

• Pega Certifications: Pega Certified Senior System Architect
  Pega Certified System Architect
  
• Artificial Intelligence Course: Completed Introduction to Artificial Intelligence course by IBM.
  
• Research Experience: Published research paper on Scalable Flexible Cellular Core Networks Architecture.
  

Motion Detection using OpenCV: Developed a mobile application utilizing OpenCV for motion detection. The application analyzes video streams to detect motion in real-time, providing users with a sophisticated motion detection system.

Health and Emergency Aid (HEAL) with Pega 8.4: Designed and implemented the Health and Emergency Aid (HEAL) application using Pega 8.4. This comprehensive platform integrates essential components such as contributors, funds, insurance, medications, and consultations. HEAL enhances accessibility and efficiency in delivering emergency aid and healthcare services, promoting teamwork and ultimately improving health outcomes.

Comparison of K-means and Spectral Clustering: Conducted a data mining project comparing the performance of K-means and spectral clustering algorithms. Findings revealed that while K-means demonstrates efficiency and scalability, spectral clustering offers superior accuracy in capturing complex relationships within datasets. This underscores the importance of selecting the most suitable algorithm based on dataset characteristics and specific application requirements. For datasets with clear clusters, K-means may suffice, but for more complex datasets, spectral clustering is preferred.