Jeff Allen

Data Scientist

https://talent.gravityer.com/jeff-allen

Maps, Graphics, Cities, etc.

University of Toronto

Key Strengths

Strong foundational experience in Python and R for data analysis, as evidenced by multiple personal projects.
Demonstrated interest and practical application in geospatial data analysis and urban planning, aligning with data science applications.
Experience with Jupyter Notebooks for data exploration and presentation.
Exposure to various data processing tools like GDAL/OGR and shell scripting.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are primarily personal and academic in nature, focusing heavily on urban planning and geospatial analysis. While this demonstrates initiative and domain expertise, the breadth of exposure to diverse industry problems or collaborative team environments is not evident. The single professional experience listed is current and recent, making it difficult to assess past cultural fit. The target role is 'Data Scientist', which aligns with the technical skills shown, but the specific industry or team culture fit cannot be determined from the provided data.

Soft Skills & Operational Fit

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

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Projects

parking-tickets-toronto

April 22, 2022 – June 4, 2024

parking-tickets-toronto — GitHub repository

View Project

tracc

July 30, 2020 – September 24, 2020

transport accessibility measures in Python

View Project

TransitCenter_old

May 29, 2020 – August 3, 2021

Accessibility analysis to determine transit equity in major U.S. cities

View Project

toronto-urban-form

December 12, 2018 – July 8, 2020

generating various measures of urban form, built environment, and walkability for the Toronto region

View Project

CLTD

February 24, 2018 – February 7, 2023

Canadian Longitudinal Census Tract Database

View Project

city-guesser

December 18, 2017 – March 21, 2023

a map-based quiz game

View Project

canada-transit-access

December 1, 2017 – February 12, 2019

code for computing, analyzing, and visualizing measures of transit accessibility in Canada

View Project

nearby-transit-trip-frequency

June 27, 2017 – August 3, 2018

computes number of unique transit trips available within walking distance of a point

View Project

OpenTripPlanner_analysis

August 2, 2016 – May 7, 2021

various scripts using OpenTripPlanner for transportation network analysis

View Project

open_geo_scripts

August 24, 2015 – January 24, 2024

a few geoprocessing scripts using open libraries like GDAL/OGR

View Project

Key Strengths

Strong foundational experience in Python and R for data analysis, as evidenced by multiple personal projects.
Demonstrated interest and practical application in geospatial data analysis and urban planning, aligning with data science applications.
Experience with Jupyter Notebooks for data exploration and presentation.
Exposure to various data processing tools like GDAL/OGR and shell scripting.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

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

Jeff Allen

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit