Work

AI Mini Project

Machine Learning Pipelines
Data Preprocessing
Model Evaluation
Research Prototype

An end-to-end applied machine learning prototype demonstrating the complete ML lifecycle. Covers data preprocessing, feature engineering, model training, and performance evaluation.

AI Prototype Visualization

Project Overview

Developed a focused proof-of-concept to explore specific ML algorithms in a controlled environment. This project served as a testbed for understanding the practical challenges of deploying theoretical models.

Key Features

  • End-to-End Pipeline: Integrated data preprocessing, model experimentation, and evaluation.
  • Prototyping: Built a compact pipeline to test applied ML concepts.
  • Data Handling: Managed dataset cleaning and transformation for model training.