alchayward

Data Scientist

https://talent.gravityer.com/alchayward

MünchenMember since June 25, 2026

Key Strengths

Demonstrated personal project experience in Python, including 'pyReframe' and 'quantum_util', which are relevant for data science.
Exposure to Bayesian concepts through the 'bayesian' project, indicating foundational knowledge in statistical modeling.
Experience with Jupyter Notebook, a common tool in data science workflows.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio shows a diverse range of technologies and interests, from web development (HTML, CSS, JavaScript, PHP) to scientific computing (Python, Matlab, Objective C). While this breadth indicates adaptability, the direct alignment with a 'Data Scientist' role is moderate, as many projects are not directly data science-focused. The 'qsic_task' project was for a 'Data engineer role', which is related but distinct from a Data Scientist.

Soft Skills & Operational Fit

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

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Projects

ezchess

February 19, 2024 – February 19, 2024

ezchess — GitHub repository

View Project

qsic_task

April 18, 2023 – April 18, 2023

Coding test for Data engineer role at Qsic

View Project

flask-app-template

December 1, 2020 – December 1, 2020

flask-app-template — GitHub repository

View Project

OctoberSun2019

February 29, 2020 – March 2, 2020

OctoberSun2019 — GitHub repository

View Project

quantum_util

June 17, 2019 – November 6, 2019

Common tools for solving quantum matter problems

View Project

ehbc-web

June 10, 2019 – December 11, 2022

EHBC 2019 Zurich Website

View Project

pyReframe

September 26, 2016 – July 3, 2020

port of the clojure reframe to python

View Project

bayesian

January 25, 2016 – September 26, 2016

bayesian — GitHub repository

View Project

mag-jch

June 27, 2015 – March 21, 2016

simulate jch systems with a magnetic field

View Project

seeding

April 9, 2015 – April 15, 2015

seeding — GitHub repository

View Project

Key Strengths

Demonstrated personal project experience in Python, including 'pyReframe' and 'quantum_util', which are relevant for data science.
Exposure to Bayesian concepts through the 'bayesian' project, indicating foundational knowledge in statistical modeling.
Experience with Jupyter Notebook, a common tool in data science workflows.

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 are available.

alchayward

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit