Overview

I published this undergraduate applied-ML research on toddler autism-screening data in the International Journal of Information Technology and Computer Science (IJITCS). The work combines dataset analysis, a Tableau/Python dashboard, and a literature review of SVM/CNN classification approaches.

I include this project as early published research experience; my current applied-AI engineering case studies are Maintenance-Eye and GovIntel.

Publication

Published in: International Journal of Information Technology and Computer Science (IJITCS), Vol. 14, No. 4

Approach

  1. Data preparation - prepared Kaggle toddler autism-screening data for analysis and candidate classification workflows
  2. Modeling - reviewed SVM/CNN approaches for classifying ASD-trait screening labels
  3. Evaluation - summarized classification metrics reported in the paper and related literature
  4. Visualization - used Tableau to communicate dataset patterns and results

Tech Stack

  • Python
  • Tableau
  • SVM/CNN classification methods

Key Takeaway

This page treats the work as early published research and dashboard/data-analysis evidence; performance claims are limited to what the paper documents.