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Achievement: YOLOAchievement: StarstruckAchievement: Pull SharkAchievement: Arctic Code Vault Contributor

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PierreExeter/README.md

Pierre Aumjaud

Data Analyst | Data Engineer | Data Scientist

Data-focused professional transitioning from an academic career after a four-year period of dedicated skills development. Proficient in data analysis, data engineering, and data science, with a proven ability to build and deploy machine learning models.

Tech Stack

Python : Scikit-learn | Pytorch | Numpy | Pandas

Databases : MySQL | PostgreSQL | DuckDB

DevOps : Git | Docker | Github Actions | Unit tests

Data Integration : dbt | Snowflake | Azure

Data Visualisation : Tableau | Streamlit | Matplotlib | Seaborn

Monitoring : Grafana | Prometheus

Web Development : Rest API (Flask) | HTML | CSS

Autres : Linux / Bash | Agile / Jira

Pinned Loading

  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 …

    CSS

  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