Google - Local Shopping ML Pipeline

    # Google - Local Shopping ML Pipeline
    
    ## Overview
    As a Software Engineering Intern at Google, I developed machine learning pipelines to enhance the Local Shopping team's ability to recommend relevant products to users based on proximity.
    
    ## Technical Details
    - Built a baseline mechanism using heuristics to understand system limitations
    - Developed complete ML pipelines for data importing, transformation, analysis, training, and evaluation
    - Experimented with various models from Linear Regression to Wide and Deep
    - Implemented feature transformation techniques using embeddings and feature crosses
    - Used Python, TensorFlow, TFX, SQL, and C++ to create a robust end-to-end system