[Project 01]
Achieved accuarte job-skill matches on a small dataset from TNIC.
Machine Learning
Job-Skill Matching Using Machine Learning
[Project Overview]
An accurate, ML-based tool that connects candidate skills with the right job roles, making hiring smarter and faster.
[Details]
As part of my Business Data Mining course (DSA-301) and Discrete Mathematics course (DSA-102) at Thai-Nichi International College, I collaborated with two teammates on this interdisciplinary project focused on matching individuals to jobs on their skill sets using machine learning.
We experimented with multiple classification algorithms to evaluate their performance on a small-scale categorical dataset. After the comparative testing, the K-Nearest Neighbors (KNN) Model was selected as our final approach, as it delivered the highest accuracy for the given data.
[Industry]
Machine Learning
[My Role]
Analytics & Research Lead
[Platforms]
Google Colab || Google Site
[Timeline]
Aug 2024 - Oct 2024
[My Contributions]
[01] Data Collection & Preparation
Collected the dataset through Google Forms
Handled data cleaning and transformation
Also contributed to preprocessing tasks
[02] Exploratory Data Analysis (EDA)
Visualized job distribution and skill frequencies using bar charts and radar charts
Analyzed soft skills across job types
Created a correlation matrix and heat map to explore skill interrelationships
[03] Presentations & Communication
Took primary responsibility for three out of four major presentations during the course of the project
Content creation and delivery
Played an active role in the final project defense, presenting key findings and model outcomes
[04] Project Documentation & Web Design
Contributed significantly to the development and design of our Google Site, where we showcased our methodology, findings, and visual insights
[Key Learnings]
Machine Learning Application
Applied K-Nearest Neighbors (KNN) to real-world categorical data.
Data Handling and EDA
Enhanced data quality through cleaning, visualization, and feature analysis.
Technical Communication
Improved abiility to document and present data-driven insights.