John Leo L. Raper
StudentIT Specialist with Expertise in Service Management and Business Analytics
Caloocan, Metro Manila · FEU Institute of Technology
Personal Information
Short Biography
I am a dedicated 4th-year Bachelor of Science in Information Technology student specializing in Service Management and Business Analytics. With a strong foundation in IT systems, data analysis, and business intelligence, I honed skills in leveraging technology to improve service efficiency and decision-making processes. Passionate about using data-driven insights to support business objectives, I am adept at tools and techniques in analytics, customer service optimization, and project management. Eager to apply their expertise in real-world environments, I am focused on making meaningful contributions to the intersection of technology and business.
🛠️ Skills
JavaScript
Competent (70%)
PHP
Expert (90%)
Python
Advanced (80%)
HTML & CSS
Expert (85%)
Web Development
Advanced (80%)
🎓 Educational Qualification
Tertiary · Jul 2021 - Present
Bachelor of Science in Information Technology
Service Management and Business Analytics · FEU Institute of Technology
Secondary · Jun 2019 - Jul 2021
Caloocan City Business High School
🏆 Honors and Awards
Recipient
FEU Tech 1TSY2425 CCSMA Dean's Lister (Bronze)
Issued by FEU Tech Registrar's Office on December 10, 2024
View Credential
LACAD | Most Innovative Project (TICAP 17)
Issued by FEU Institute of Technology on December 07, 2024
LACAD | Best Analytics (TICAP 17)
Issued by FEU Institute of Technology on December 07, 2024
Finalist
Top 5 | SAP ERPsim Philippines (Competition)
Issued by SAP on November 29, 2024
Champion
11th National TechnoFest 2024 - Best Project in CCSMA (Competition)
Issued by FEU Tech Student Coordinating Council on October 26, 2024
LACAD: Business Management System with Sales Forecasting using ARIMA and Foot Traffic Analysis using YOLOv7 and Linear Regression
📜 Licenses and Certifications
PMI Project Management Ready
Issued by Project Management Institute on December 02, 2024
IT Specialist - Python
Issued by Certiport on November 28, 2024
👨🏻🏫 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 TB32 - Aspiring Tech Leaders in Analytics and Services (ATLAS) on February 15, 2024
Organizer
AITS WEBUILDER: Introduction to JavaScript and ReactJS [JavaScript Workshop]
Awarded by FEU Tech Alliance of Information Technology Students on November 16, 2022
Organizer
AITS WEBUILDER: Introduction to JavaScript and ReactJS [ReactJS Workshop]
Awarded by FEU Tech Alliance of Information Technology Students on November 16, 2022
👥 Organizations and Memberships
FEU Tech Alliance of Information Technology Students
Director for Sports · August 07, 2022 - May 14, 2023
Research Publications
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Conference Paper · 10.1109/hnicem64917.2024.11258696
LACAD: Business Management System with Sales Forecasting Using ARIMA and Foot Traffic Analysis Using YOLOv7 and Linear Regression2024 IEEE 16th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM), (2025), pp. 1-5
This study introduces a centralized Business Management System (BMS) tailored for small and mediumsized enterprises (SMEs), with an innovative approach due to the integration of a foot traffic detection system through video processing. The system allows businesses to access common business management features such as point of sales, staff scheduling, inventory management, and reports. With the integration of YOLOv7, foot traffic detection for customer count is made possible through LACAD. By automating data collection and providing foot traffic counts, alongside graphical reports, the system empowers SMEs to make better decisions for their businesses. This research highlights the strategic advantage of leveraging foot traffic insights to drive performance and competitiveness in the modern business landscape. As a guide for the study the researchers used Scrum methodology. The study was then evaluated through a quantitative survey using FURPS with 12 IT professionals and 7 beneficiaries as the respondents where the calculated total weighted mean for both the respondent types resulted in 4.60 which means that the users “Strongly Agree” with the system's overall components.