Data enthusiast, I love applying software engineering best practices to make reproducible, easy-to-maintain and scalable data products.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
dbt-dimensionnal-modeling
October 25, 2023 – October 26, 2023
dbt-dimensionnal-modeling — GitHub repository
View Projectpython-rmq-module-1.1.0
October 12, 2023 – October 19, 2023
This repository was created to build a RabbitMQ module with python. The module's objective is to make it faster and easier to : (i) connect to RabbitMQ, (ii) send messages and (iii) receive messages.
View Projectairflow-dags
October 12, 2023 – October 12, 2023
Repository to manage Airflow (Cloud composer instance) dags with CI/CD integrated
View Projectterraform-cloud-composer
October 12, 2023 – October 12, 2023
Repository dedicated to set up a prod ready cloud composer environment (managed Airflow on GCP)
View Projectterraform-modern-data-stack
October 12, 2023 – October 12, 2023
Terraform Repository to learn about basics and build a modern data stack in 10 minutes on GCP
View Projecttaxi-demand-prediction
September 8, 2023 – September 8, 2023
Automate a simple taxi fare (and rides) prediction model.
View Projectpydantic_usage
December 23, 2021 – December 23, 2021
Demo of pydantic library for settings and data validation
View Projectpy-generic-analysis
December 18, 2021 – August 18, 2022
framework for generic reproducible and portable analyzes
View Projecttitanic-api
July 10, 2021 – July 11, 2021
Machine leanring api based on titanic classification problem
View ProjectCultural Fit Analysis
The candidate's personal projects show a strong inclination towards data engineering and MLOps, which aligns well with a Data Scientist role that often requires robust data pipelines and deployment skills. The diversity of tools (dbt, Airflow, Terraform, Python, RabbitMQ) indicates a proactive learning attitude and adaptability. However, the lack of team-based projects or contributions to open-source initiatives makes it difficult to fully assess collaborative cultural fit.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.