Raphael

Data Scientist

https://www.opentalent.in/raphael-2

My personal account (work account: raph-work)

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Key Strengths

Demonstrated interest in Data Science through personal projects like 'Statistical-Rethinking' and 'The-Art-of-Data-Science'.
Experience with Python for data analysis and machine learning tasks, as seen in 'leverage-simulation' and 'kaggle-nlp-disaster-tweets-valohai'.
Exposure to Graph Neural Networks for molecular property prediction in a 'masters_project', indicating advanced ML interest.
Current role as a Data Scientist at Inscribe, though no details are provided.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are primarily personal and academic, showing initiative and self-directed learning. However, the diversity of technologies (Rebol, R, Matlab, TeX, Ruby) suggests a broad exploratory phase rather than deep specialization in a specific data science stack. The lack of team-based projects or contributions makes it difficult to assess collaboration or cultural alignment. The target role is Data Scientist, which aligns with the project themes, but the experience level is 0, which contradicts the current role listed.

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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Assessing your cultural and operational fit

Projects

raph333.github.io

January 31, 2026 – Present

my website

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advent_of_code_2023

December 18, 2023 – May 9, 2024

Advent of Code 2023

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leverage-simulation

October 21, 2023 – October 21, 2023

simple simulation of leverage on historical data of the SP500 index

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kaggle-nlp-disaster-tweets-valohai

February 12, 2023 – February 13, 2023

Setting up a valohai ML pipeline to train a simple NLP model

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advent-of-code-2022

December 26, 2022 – January 16, 2023

python solutions for advent of code puzzles

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machine_learning_coursera

October 30, 2019 – October 30, 2019

Matlab solutions to the exercises of the Coursera course 'Machine Learning' offered by Stanford

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masters_project

October 18, 2019 – July 25, 2024

graph neural networks for predicting molecular properties

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raph333.github.io-old

October 14, 2019 – Present

my projects-website

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Statistical-Rethinking

November 21, 2017 – June 10, 2018

An interactive online reading of McElreath's Statistical Rethinking

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The-Art-of-Data-Science

September 26, 2017 – December 14, 2017

An interactive online reading of Matsui and Peng's The Art of Data Science

View Project

Key Strengths

Demonstrated interest in Data Science through personal projects like 'Statistical-Rethinking' and 'The-Art-of-Data-Science'.
Experience with Python for data analysis and machine learning tasks, as seen in 'leverage-simulation' and 'kaggle-nlp-disaster-tweets-valohai'.
Exposure to Graph Neural Networks for molecular property prediction in a 'masters_project', indicating advanced ML interest.
Current role as a Data Scientist at Inscribe, though no details are provided.

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.

Raphael

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit