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PierreExeter/README.md

Pierre Aumjaud

Data analyst passionate about leveraging data to drive decisions, with expertise in Python, SQL, and machine learning.

Languages and Tools

arduino azure bash css3 docker git html5 jekyll linux mysql pandas python pytorch scikit_learn seaborn tensorflow grafana

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  1. MLOps-Pipeline-Deployment MLOps-Pipeline-Deployment Public

    A deployed machine learning model that predicts patient medical charges based on demographic and health data. Features a Flask API, a web front-end, and is containerized with Docker for deployment …

    HTML

  2. ML-Performance-Monitoring-with-Grafana ML-Performance-Monitoring-with-Grafana Public

    A containerized Flask API that serves a diamond price prediction model. This solution monitors for data and concept drift using Grafana and sends automated alerts to a Discord channel when performa…

    Python

  3. rl_reach rl_reach Public

    RL Reach is a platform for running reproducible reinforcement learning experiments.

    Python 43 9

  4. SQL_projects SQL_projects Public

    SQL data analysis scripts featuring data cleaning (duplicates, standardization, missing values), exploratory analysis, and automated pipelines using stored procedures and scheduled events.

  5. llama2 llama2 Public

    This chatbot app is built using the Llama 2 open source LLM from Meta.

    Python

  6. data-science-projects data-science-projects Public

    A collection of projects showcasing machine learning and data analysis projects in Python. Organized by project, each directory contains code, datasets, documentation and resources.

    Jupyter Notebook