Having fun with MLOPS: Wine Stuff

Here you will find a selection of miscellaneous data science projects that are not included in my project portfolio.

My professional resume

Develop a single endpoint to predict the sales of a company

This project aims to apply MLOps techniques to deploy a machine learning model through an API constructed with FastAPI. We utilize Poetry for dependency management and Docker for containerization, ensuring the code is modular, organized 📐, and maintainable 🛠️.

Flower Classification Web Application (Built with Flask)

MLE NLP Matcher that maps item descriptions in natural language to carbon emission labels and factors

This is an example Convolutional Neural Network ML model as a solution for various Classification use cases!

Repository showcasing my Machine Learning Engineering Apprenticeship at AXA-Direct Assurance, contributing to the development and implementation of Machine Learning solutions.

Udacity's Machine Learning Engineer Nanodegree Projects

Leverage Metaflow, PyTorch, AWS S3, Elasticsearch, FastAPI and Docker to create a production-ready facial recognition solution. It demonstrates the practical use of deep metric learning to recognize previously unseen faces without prior training.

Cognizant Artificial Intelligence job simulation on Forage.

End-to-end MLOps Using MLflow for ML lifecycle, including data validation, processing, model training, evaluation, validation and deployment

Advise one of Cognizant’s clients on a supply chain issue by applying knowledge of machine learning models.

Udacity Project: Build an end-to-end plagiarism classification model. Apply skills to clean data, extract meaningful features, and deploy a plagiarism classifier in SageMaker.

The website of Sun Analytics B.V.

An cryptocurrency trading bot that uses automated machine learning for decision making to maximize returns.

A framework for forecasting stock prices with emphasis on Machine Learning best practices.

Machine Learning Model Deployment with SageMaker