ML Engineer Roadmap

Perform a full EDA on a real-world dataset, from cleaning to visualization. Present findings in an interactive dashboard.

Build a data pipeline that scrapes a website, stores the data in an SQLite database, and generates a statistical report.

Build and compare multiple models (Logistic Regression, Decision Tree, Simple NN) to predict customer churn. Focus on feature engineering and model evaluation.

Take the churn model, wrap it in a FastAPI backend, create a Streamlit UI, Dockerize it, and deploy it to a cloud service like Render or Hugging Face Spaces.

Fine-tune a Transformer model to classify customer reviews. Deploy the model as an API and create a simple interface to analyze new text.

Build a system that can process a video stream (from a file or webcam) and perform real-time object detection using a custom-trained YOLO model.

Build and deploy a full-featured recommendation engine for movies or products. Include user segmentation and an API to serve recommendations.

Define a problem, collect data, build/deploy a model, and present your findings. This is your chance to build a unique portfolio piece from scratch.