Sean Devine

Data Scientist

https://talent.gravityer.com/sean-devine

what if you wanted to go to heaven but God said Model failed to converge with max|grad| = 0.00322 (tol = 0.001)

McGill University

Key Strengths

Demonstrated experience with Python and R for data analysis and modeling through personal projects.
Exposure to various statistical and machine learning concepts (e.g., DDM, reinforcement learning, multilevel modeling, Bayesian regression) via project descriptions.
Experience with Jupyter Notebook for data exploration and presentation.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are primarily academic/research-oriented and personal, focusing on psychological and cognitive science applications. While demonstrating technical skills, the alignment with a typical industry 'Data Scientist' role requires further validation. The current experience at McGill University as a 'Data Scientist' is listed as current with a future start date, which is unclear and needs clarification. The breadth of technologies is good for research, but specific industry tools and practices are not explicitly highlighted.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. Psychometric test scores are 0, providing no insight.

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Projects

RLintro4psyc

February 19, 2024 – February 27, 2024

Introduction to reinforcement learning for psychologists, neuroscientists, and cognitive scientists

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eyeprog

November 20, 2023 – September 28, 2024

eyeprog — GitHub repository

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HDDM_tutorial

October 6, 2023 – February 29, 2024

Tutorial on a super simple introduction to basic (H)DDM concepts and implementations in Python.

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fEMG_Intro

September 19, 2023 – September 20, 2023

Basic introduction to facial electromyography processing for the Otto Lab 2023

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bMLMFit

April 22, 2023 – October 16, 2025

Data and code repository for Linear Multilevel Bayesian Regression Selection: Comparing Three Predictive Information Criteria

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choiceval

March 28, 2023 – March 28, 2023

choiceval — GitHub repository

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EffortProgress2

June 6, 2022 – January 17, 2024

Repository for Proximity to Rewards Determines Parameters of Effortful Control Exertion

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EffEMG

November 5, 2021 – January 13, 2023

EffEMG — GitHub repository

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logisticicc

August 10, 2021 – January 19, 2024

logisticicc — GitHub repository

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MLMTutorial_2021

June 24, 2021 – July 8, 2021

Beginner and advanced tutorials on multilevel modeling presented (online) for Concordia cognition labs, June 29 and July 6 2021 respectively.

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Key Strengths

Demonstrated experience with Python and R for data analysis and modeling through personal projects.
Exposure to various statistical and machine learning concepts (e.g., DDM, reinforcement learning, multilevel modeling, Bayesian regression) via project descriptions.
Experience with Jupyter Notebook for data exploration and presentation.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. Psychometric test scores are 0, providing no insight.

Sean Devine

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit