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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
ITSC-202-A
January 29, 2024 – January 29, 2024
A collection of all my C program for my Programming Essentials (ITSC-202-A) course at SAIT.
View ProjectBMI-Estimation-From-2D-Images-Using-Support-Vector-Machine
January 29, 2024 – January 29, 2024
Thesis project during my BS in Computer Engineering at Mapua University, Philippines. This program was developed using Python and various machine learning techniques and was deployed on Raspberry Pi 3 Model B+. The dataset was collected by me and my partner.
View ProjectBash-Script-Bookstore-Project
January 29, 2024 – January 29, 2024
This was a requirement for my Unix Administration program back in 2020. This program allows you to search books, view your cart, highlights and the latest books in a database file a created as well.
View ProjectMAMA-NASASpaceApps2021
October 2, 2021 – October 3, 2021
MAMA-NASASpaceApps2021 — GitHub repository
View ProjectPIRANHA
March 19, 2020 – May 6, 2020
Project for Software Design Laboratory -- Topic: Detecting Phishing Website with Machine Learning
View ProjectSoftware_Design_Lab_Exercises
March 7, 2020 – March 7, 2020
Software_Design_Lab_Exercises — GitHub repository
View ProjectSoftware-Design-Lab-Exercises
March 7, 2020 – March 7, 2020
Software-Design-Lab-Exercises — GitHub repository
View ProjectSoftware-Design-Lab-Exercise
February 24, 2020 – March 7, 2020
Software-Design-Lab-Exercise — GitHub repository
View ProjectTeam-Logic-One---Bluehacks-2020-Entry
February 16, 2020 – February 22, 2020
Team-Logic-One---Bluehacks-2020-Entry — GitHub repository
View ProjectCultural Fit Analysis
The candidate's project history shows a focus on academic and personal projects, primarily in Python and C++. The projects indicate an interest in machine learning and data analysis, which aligns with a Data Scientist role. However, the lack of professional experience or detailed project descriptions makes it difficult to fully assess cultural fit beyond technical interest. The diversity of projects (ML, web, mobile, scripting) suggests adaptability, but depth in any specific area is not clearly demonstrated.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are brief, and there are no completed psychometric or English tests to provide insights into communication or work attitude.