Jérémy Payan

Data Scientist

https://talent.gravityer.com/jeremy-payan

Data enthusiast, I love applying software engineering best practices to make reproducible, easy-to-maintain and scalable data products.

Paris, Île-de-France, France

Key Strengths

Demonstrated proficiency in data orchestration tools like Airflow (Cloud Composer) and dbt.
Experience with infrastructure as code using Terraform for GCP environments.
Familiarity with Python for data engineering and machine learning tasks.
Exposure to message queuing systems with RabbitMQ.
Practical experience in building and deploying ML APIs (titanic-api).

Cultural & Operational Fit

Cultural 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.

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

dbt

October 31, 2023 – October 31, 2023

dbt — GitHub repository

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dbt-dimensionnal-modeling

October 25, 2023 – October 26, 2023

dbt-dimensionnal-modeling — GitHub repository

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python-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.

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airflow-dags

October 12, 2023 – October 12, 2023

Repository to manage Airflow (Cloud composer instance) dags with CI/CD integrated

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terraform-cloud-composer

October 12, 2023 – October 12, 2023

Repository dedicated to set up a prod ready cloud composer environment (managed Airflow on GCP)

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terraform-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

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taxi-demand-prediction

September 8, 2023 – September 8, 2023

Automate a simple taxi fare (and rides) prediction model.

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pydantic_usage

December 23, 2021 – December 23, 2021

Demo of pydantic library for settings and data validation

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py-generic-analysis

December 18, 2021 – August 18, 2022

framework for generic reproducible and portable analyzes

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titanic-api

July 10, 2021 – July 11, 2021

Machine leanring api based on titanic classification problem

View Project

Key Strengths

Demonstrated proficiency in data orchestration tools like Airflow (Cloud Composer) and dbt.
Experience with infrastructure as code using Terraform for GCP environments.
Familiarity with Python for data engineering and machine learning tasks.
Exposure to message queuing systems with RabbitMQ.
Practical experience in building and deploying ML APIs (titanic-api).

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.

Jérémy Payan

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit