Louise Ken Dagle
StudentEmbracing a lifestyle in the Tech Industry
Imus, Cavite · FEU Institute of Technology
Personal Information
Short Biography
Ken is currently a 4th-year BSIT student from FEU Tech, specializing in Service Management and Business Analytics. He is looking for work experience, and is eager to learn from the IT industry. His biggest strengths are web development, programming (especially in Python), data analytics, and effectively communicating problems and solutions with colleagues. With these established skills, he aspires to become the best version of himself in his IT career.
🛠️ Skills
Problem-Solving
Advanced (80%)
Programming Logic and Fundamentals
Advanced (76%)
Communication
Advanced (79%)
Python
Advanced (76%)
Data Analytics
Advanced (76%)
🎓 Educational Qualification
Tertiary · Aug 2021 - Present
Bachelor of Science in Information Technology
Service Management and Business Analytics · FEU Institute of Technology
Secondary · Jun 2019 - Jul 2021
St. Edward School - Faith
🏆 Honors and Awards
Champion
Best Web Application (EveryDay Portal: An E-commerce Platform)
Issued by Technology Innovation in Capstone Project on December 07, 2024
Champion
Best Capstone Project (EveryDay Portal: An E-commerce Platform)
Issued by Technology Innovation in Capstone Project on December 07, 2024
2TSY2122 CCSMA Dean's Lister (Silver)
Issued by FEU Institute of Technology on March 28, 2022
View Credential📜 Licenses and Certifications
Information Technology Specialist in Data Analytics
Issued by Certiport on December 09, 2024
View Credential
Information Technology Specialist in Python
Issued by Certiport on November 29, 2024
View Credential
Information Technology Specialist in Networking
Issued by Certiport on July 28, 2023
View Credential
CCNAv7: Introduction to Networks
Issued by Cisco Networking Academy on April 16, 2023
👨🏻🏫 Seminars and Trainings
Attendee
Research Materialized: Transforming Insights into Tangible Solutions (Usability Testing, Software Manual, and Research Publication)
Awarded by FEU Tech Information Technology Department on September 28, 2024
View Credential
Attendee
Research Materialized: Transforming Insights into Tangible Solutions (Collaborative Research and Code Documentation)
Awarded by FEU Tech Information Technology Department on September 28, 2024
View Credential
Organizer
Navigating the Future: SAP Career Opportunities
Awarded by ATLAS (Class Organization made under Course IT0107 - Term 2 SY23-24) on February 15, 2024
👥 Organizations and Memberships
FEU Tech Alliance of Information Technology Students
Director for Technicals · August 27, 2022 - August 02, 2023
Research Publications
Powered by:
Conference Paper · 10.1109/hnicem64917.2024.11258685
Everyday Portal: An E-Commerce Platform for Everyday Streetwear Fashion with Customer Analysis Using Hybrid Collaborative Filtering2024 IEEE 16th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM), (2024), pp. 1-6
This study presents an e-commerce platform with customer analysis using hybrid collaborative filtering, developed specifically for the EveryDay streetwear brand to enhance their online presence and improve their business operations. With the rise of online shopping and social commerce in the Philippines, the platform aims to enhance user experience by providing tailored product suggestions using hybrid collaborative filtering. It integrates features like order, payment, inventory management, and product customization, allowing users to personalize their shopping experience, while customer behavior analysis and monthly reporting help improve decision-making and operational efficiency. To guide the development of the platform, the team used the SCRUM methodology. The system's architecture emphasizes data security, user privacy, and reliability through the ISO 25010 Software Quality Model. Surveys were conducted with a total of 75 respondents to measure the system's performance based on the model's parameters. The system scored a weighted mean of 4.81 from customers, 5.00 from both staff and admin, and 4.88 from IT experts, resulting in an overall rating of “Excellent.”. This study highlights the potential of hybrid recommender systems in enhancing e-commerce platforms and driving customer engagement and sales.