James Samuel

Data Scientist

https://talent.gravityer.com/james-samuel

Software Engineer

Berlin, Berlin, GermanyMember since June 23, 2026

Key Strengths

Demonstrated interest in Machine Learning and Data Science through personal projects like 'MachineLearning' and 'Sales-demand-forecast'.
Experience with Python and Jupyter Notebook, which are core tools for Data Scientists.
Exposure to AWS services (Sagemaker, Forecast, Lambda, Amplify, Aurora Serverless) indicates cloud proficiency relevant to data science deployments.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio is diverse, covering machine learning, web development (Node.js, Vue.js, Laravel), and serverless architectures. This breadth suggests adaptability and a willingness to explore various technologies. However, the majority of projects are personal and lack detailed descriptions of team collaboration or impact, making it difficult to fully assess cultural fit in a professional team setting. The target role is 'Data Scientist', and while there are relevant projects, the overall portfolio is quite broad, which could indicate a generalist profile rather than a deep specialization in data science.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or 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

aws-serverless-aurora

November 13, 2020 – November 13, 2020

Build a fully Serverless backend on AWS and how you can handle database schema migration using Amazon API Gateway, AWS Lambda, Amazon Aurora Serverless (MySQL) and Python CDK.

View Project

Sales-demand-forecast

October 10, 2020 – October 10, 2020

Sales damand forecast using Amazon Forecast

View Project

amplify-serverless-app

August 13, 2020 – September 20, 2020

AWS has built great tooling around its cloud services to make developers’ lives easier. One of their very useful tools is AWS Amplify, a JavaScript library that lets you build and deploy serverless applications in the cloud

View Project

MachineLearning

March 13, 2020 – March 20, 2020

Learn Pytorch, Sagemaker & Computer Vision in General

View Project

disease-finder-api

February 21, 2020 – March 7, 2020

Facebook AI Hackathon

View Project

lambda-image-app

June 9, 2019 – May 1, 2023

An Image processing lambda function built with serverless framework

View Project

Laravel-Bigbluebutton

January 27, 2018 – May 31, 2020

A BigBlueButton API wrapper for Laravel 5

View Project

NodeJs-Todo-List

January 2, 2018 – Present

Build a todo list with NodeJs backend and VueJs frontend

View Project

Awesome-Clean-Code-Resources

December 12, 2017 – August 28, 2021

An awesome curated list of clean code posts, books and videos

View Project

Example-VueComponent

November 1, 2017 – November 1, 2017

This is the source code for the post: creating your very first component in vuejs.

View Project

Key Strengths

Demonstrated interest in Machine Learning and Data Science through personal projects like 'MachineLearning' and 'Sales-demand-forecast'.
Experience with Python and Jupyter Notebook, which are core tools for Data Scientists.
Exposure to AWS services (Sagemaker, Forecast, Lambda, Amplify, Aurora Serverless) indicates cloud proficiency relevant to data science deployments.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

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

James Samuel

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit