Pedro Haerter

Data Scientist

https://talent.gravityer.com/pedro-haerter

PhD candidate| Non Linear Dynamics and Plasma Physics Group | Universidade Federal do Paraná

Curitiba

Key Strengths

Strong foundational knowledge in scientific computing and numerical simulations, particularly with C++, CUDA, and Python.
Extensive experience with high-performance computing (HPC) and parallel programming, as evidenced by multiple CUDA projects.
Demonstrated ability to work on complex, research-oriented projects involving plasma physics and chaotic systems.
Proficiency in Jupyter Notebook for data analysis and visualization, which is relevant for data science roles.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are heavily focused on academic/research-oriented scientific computing, primarily in physics. While demonstrating strong technical depth in specific areas, the project diversity outside of this niche is limited. The alignment with a general 'Data Scientist' role requires further validation of their ability to apply these skills to broader business problems, machine learning, or statistical modeling beyond simulations. The candidate's experience level is listed as 0, which suggests a very junior profile despite the complexity of personal projects.

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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Projects

Sawtooth-Plasma-Transport

November 17, 2025 – November 17, 2025

Repository containing the files used to explore and calculate the quantifiers of the paper "The effect of parameter drift in the transport of magnetized plasma particles"

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CUDA-Transport

September 17, 2025 – October 3, 2025

Codes to calculate transport and chaotic analyzs using CUDA

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Horton-Mima

September 11, 2025 – September 12, 2025

A C++/CUDA/Python simulation suite for studying chaotic particle transport driven by a nonlinear three-wave interaction model.

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pedro12374.github.io

June 23, 2025 – Present

My Cv

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Hasegawa-Mima

May 16, 2023 – July 10, 2023

Three Waves interaction in plasmas

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Pinturas

November 13, 2017 – February 9, 2018

Pinturas — GitHub repository

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CertifiPET

September 19, 2017 – May 11, 2018

Repositório para os certificados do PET

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FundamentosDaComputacao

October 3, 2016 – January 30, 2017

FundamentosDaComputacao — GitHub repository

View Project

Key Strengths

Strong foundational knowledge in scientific computing and numerical simulations, particularly with C++, CUDA, and Python.
Extensive experience with high-performance computing (HPC) and parallel programming, as evidenced by multiple CUDA projects.
Demonstrated ability to work on complex, research-oriented projects involving plasma physics and chaotic systems.
Proficiency in Jupyter Notebook for data analysis and visualization, which is relevant for data science roles.

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.

Pedro Haerter

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit