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👋 Hi there

I am Faouzi from 🇫🇷. I am a scientist in Immunology (PhD) and a ML engineer.

My specialties include "just in time" learning, problem-solving, designing, and implementing data pipelines and architectures. I like to define myself as a data engineer with a sniff of DevOps. I keep polishing my coding skills in Python and Scala through the development of personal libraries or personal data analysis projects, and I try to make my way through the Python and Scala ecosystems. I also work on personal projects with Dart / Flutter.

I use a blog to document my learning & professional journey in the field and if you feel like you want to contact me, you can find me on Twitter or here on Github.

🔧 Languages, technologies and tools I am experienced with

  • Languages: Python, Scala, SQL, R, dart/Flutter
  • DevOps: Git, Docker, Ansible, Sentry, Github Workflow, Bitbucket pipelines
  • MLOps: Metaflow, MLFlow, Vertex.ai
  • Cloud: Google Cloud (Cloud function, Cloud Run, Compute Engine, Vertex.ai)
  • Data: Airflow, Apache Superset, DBT, Spark, RDBMS (Postgre & MySQL)

✍ Last blog articles

Braza Faouzi's Projects

adventofcode icon adventofcode

repository containing my personal attempts on advent of code challenges

damagedetect icon damagedetect

A deep learning project that investigate the possibility to detect alterations on street electronic cabinets

data-processing-scala-spark icon data-processing-scala-spark

A repository that contains code in Scala using spark to process a log data file. The full procedure to run the application can be read in the README.md file.

devops-challenge icon devops-challenge

A set of DevOps tasks done using a basic CRUD application written in JavaScript

dsti-sql_view icon dsti-sql_view

Repository for a simple python program that build a complex query string to get data from student survey database.

fruitdetect icon fruitdetect

A deep learning model developed in the frame of the applied masters of Data Science and Data Engineering. We propose here an application to detect 4 different fruits and a validation step that relies on gestural detection. A full report can be read in the README.md. If anything is needed feel free to reach out.

hadoop icon hadoop

A repository with my notes + labs from the Hadoop class given by consultants from Adaltas in the frame of my master of data engineering performed at DSTI

neo4j_project icon neo4j_project

A report giving a concise overview of Neo4J database using python and exploiting data from the DisGeNet repository

scala-dfs-lib icon scala-dfs-lib

DFS-Lib is a scala flavoured api to the Hadoop java filesystem api

summarize_dataframe icon summarize_dataframe

This is a fake project used to illustrate the way we can manage Python project with a set of tools including Poetry, Pyenv, pre-commit, Tox and GitHub actions. The articles are going to be published soon.

todo-app icon todo-app

A Todo app written in Python to enforce the concepts of testing and CI with Travis. The application usage is encapsulated into a command line interface using the python Click library

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