Simon Ouellette

Data Scientist

https://www.opentalent.in/simon-ouellette

AI Tech Lead

Member since June 24, 2026

Key Strengths

Extensive personal project experience in Python for various data science and machine learning applications.
Demonstrated interest in advanced topics like Reinforcement Learning, Bayesian methods, Stochastic Volatility models, and Fractional Differencing.
Experience with PyMC3 for probabilistic programming, indicating a strong foundation in statistical modeling.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio shows a strong inclination towards research-oriented and complex data science problems, which could be a good fit for an innovative and technically deep culture. The focus on personal projects suggests self-motivation and a passion for the field. However, the lack of team-based projects or professional experience makes it difficult to fully assess cultural fit.

Soft Skills & Operational Fit

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

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

ARC_gym

February 3, 2023 – Present

ARC gym: a data generation framework for the Abstraction & Reasoning Corpus

View Project

Microstructure

December 29, 2022 – Present

Capital market microstructure data simulator/generator

View Project

DeepSynth

December 6, 2021 – Present

General purpose program synthetiser with existing Programming By Examples (PBE) pipeline

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PyData-talk---Intro-to-PyMC3

May 25, 2019 – May 29, 2019

Companion code for my PyData talk: "Introduction to Probabilistic Programming with PyMC3"

View Project

BayesianRL

February 8, 2019 – February 15, 2019

Some example code for the "Introduction to Bayesian Reinforcement Learning" presentations

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RLNonStationary

November 23, 2018 – July 16, 2020

Demo for the application of RL to non-stationary effects

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SVmodels

November 12, 2018 – November 14, 2018

Stochastic volatility models

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StochasticDriftRL

October 5, 2018 – October 5, 2018

Example code showing the issue of stochastic variable drift for reinforcement learning

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Introduction_to_PyMC3

October 2, 2018 – October 10, 2018

Introduction_to_PyMC3 — GitHub repository

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FractionalDiff

March 16, 2018 – March 16, 2018

Experiments with fractional differencing

View Project

Key Strengths

Extensive personal project experience in Python for various data science and machine learning applications.
Demonstrated interest in advanced topics like Reinforcement Learning, Bayesian methods, Stochastic Volatility models, and Fractional Differencing.
Experience with PyMC3 for probabilistic programming, indicating a strong foundation in statistical modeling.

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.

Simon Ouellette

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit