John Lahut III

Data Scientist

https://talent.gravityer.com/john-lahut-iii

Senior Full Stack Software Engineer @ Wabtec

Wabtec Corp.

Key Strengths

Experience as a Data Scientist at Wabtec Corp.
Demonstrated proficiency in Python, a core language for Data Science.
Exposure to Jupyter Notebooks, a common tool in data science workflows.
Personal projects indicate an interest in algorithms (heapsort, BST) and distributed computing, which are foundational for advanced data science and machine learning.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's personal projects show a diverse range of technologies (Ruby, Go, TypeScript, Python, HTML, CSS, JavaScript, PL/pgSQL, Shell), indicating a broad interest in software development. However, the majority of projects are personal GitHub repositories with minimal descriptions, making it difficult to assess collaborative experience or alignment with specific team cultures. The target role is Data Scientist, and while Python and Jupyter Notebooks are relevant, the breadth of other technologies might suggest a broader software engineering interest rather than a focused data science passion. The current role as 'Data Scientist' at Wabtec Corp. aligns directly with the target role, but without further details on responsibilities, it's hard to gauge the depth of fit.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no actionable insights.

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

portfolio

January 9, 2026 – Present

portfolio — GitHub repository

View Project

aggrid-missing-data-example

November 3, 2021 – November 10, 2021

aggrid-missing-data-example — GitHub repository

View Project

python-heapsort

February 22, 2020 – February 22, 2020

python-heapsort — GitHub repository

View Project

python-bst

February 4, 2020 – February 5, 2020

python-bst — GitHub repository

View Project

planet-lab

November 12, 2019 – December 9, 2019

planet-lab — GitHub repository

View Project

dist-go

October 27, 2019 – December 17, 2019

Distributed computing example in Go

View Project

crawler-frontend

August 17, 2019 – April 30, 2021

crawler-frontend — GitHub repository

View Project

crawler-backend

August 17, 2019 – March 31, 2021

crawler-backend — GitHub repository

View Project

csi418-final

February 22, 2019 – December 8, 2022

csi418-final — GitHub repository

View Project

blog

January 28, 2019 – February 12, 2019

blog — GitHub repository

View Project

Key Strengths

Experience as a Data Scientist at Wabtec Corp.
Demonstrated proficiency in Python, a core language for Data Science.
Exposure to Jupyter Notebooks, a common tool in data science workflows.
Personal projects indicate an interest in algorithms (heapsort, BST) and distributed computing, which are foundational for advanced data science and machine learning.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no actionable insights.

John Lahut III

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit