Aswin Shaiju

Driven technology enthusiast with expertise in software engineering, coding, data analysis, and clientfacing cloud solutions. Passionate team player, adept at collaborative practices for tailored software development across the industry. Eager to leverage strong problem-solving abilities and continuous learning to mitigate risks, meet end client needs, and drive impact through innovative cloud-based technologies. Determined student with [Area of study] knowledge and drive to succeed. Offers skills in written and verbal communication and multitasking.

• AWS Cloud 101: Credential
• Google Data Analytics - Foundations: Data, Data, Everywhere (Course 1/6)
• Linux Kernel Development - LFD103
• Great Learning - .NET Fundamentals
• CIE Level-1 in "Entrepreneurship"
• Python for Data Science, AI, and Development - IBM
• Machine Learning - Stanford University (Ongoing) - Coursera

• Published Paper titled "UAV Assisted Cellular Connectivity For On-Ground Devices: Energy and Trajectory Optimisation" in 2nd IEEE International Conference on Knowledge Engineering and Communication Systems (ICKECS - 2024).
• Secured Top Ten in Hallothon Hackathon at PES University.
• Participated in Hashcode Hackathon Inter-College Hackathon.
• Best BMC Award Team in Centre For Innovation And Entreprenuership at PES University.

• ISFCR Club Organiser of Events at PES University
• Aikya Club - Operations Team Member at PES University
• Millenium Fellowship 2022 Volunteer

 Here's a concise summary of the projects you mentioned:

UAV Assisted Cellular Connectivity: Modeled UAV-assisted cellular networks in MATLAB, developed energy consumption models for UAVs, formulated trajectory optimization problems with constraints, and simulated the system.

Flight Fare Prediction and Data Analysis: Implemented machine learning models (linear regression, random forest) using scikit-learn to predict flight fares based on extensive datasets, and deployed the model in a web application.

E-commerce Microservices on Cloud: Developed scalable microservices architecture for e-commerce using Docker, Kubernetes, AWS, and RESTful APIs for inventory management, order processing, and user authentication.

Book Recommendation System: Designed a collaborative filtering-based book recommendation system using Python, scikit-learn, and user-item interaction data to generate personalized recommendations.

VM Allocation for Workload Balancing in Cloud Using Hybrid Optimization: Optimized virtual machine placement in cloud environments using hybrid optimization techniques to balance workloads and enhance energy efficiency while minimizing consumption.