Naoya Chiba

Data Scientist

https://talent.gravityer.com/naoya-chiba

Tohoku University

Key Strengths

Demonstrated experience with Python and Jupyter Notebook, essential for Data Scientist roles.
Exposure to machine learning concepts through projects like 'Feature-Extraction' (Auto Encoder model).
Experience with C++ and CUDA indicates a strong foundation in performance-critical computing, which can be beneficial in data science for optimizing algorithms.
Involvement in research-oriented projects ('transformer4sr', 'visibleBinSceneMaker') suggests an analytical and problem-solving mindset.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are primarily personal and research-focused, indicating a strong drive for individual contribution and exploration. The current role as 'Data Scientist' at Tohoku University aligns with the target role. However, the lack of diverse team projects or explicit collaboration descriptions makes it difficult to fully assess cultural fit beyond individual technical contributions. The breadth of skills includes Python, C++, and some web technologies, showing versatility.

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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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

srsd-coeff-optim

November 5, 2024 – December 12, 2024

srsd-coeff-optim — GitHub repository

View Project

mech_exp2_theme3

October 11, 2023 – October 11, 2023

Class Docs

View Project

transformer4sr

September 7, 2023 – December 16, 2023

[NeurIPS 2023 AI4Science] "A Transformer Model for Symbolic Regression towards Scientific Discovery"

View Project

Feature-Extraction

September 6, 2023 – February 27, 2024

Auto Encoder model to extract tactile feature

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neural-structure-field

June 8, 2023 – February 1, 2025

neural-structure-field — GitHub repository

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example-research-logs

April 17, 2023 – April 17, 2023

example-research-logs — GitHub repository

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3dpcp_book_codes

August 28, 2020 – April 12, 2024

3dpcp_book_codes — GitHub repository

View Project

RabVisualizer

December 18, 2019 – December 18, 2019

wrapper of PCLVisualizer, mainly for point cloud registration

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OpticalCalibrationTool

May 29, 2018 – May 31, 2018

calibration tool for optical response function between projector and camera

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visibleBinSceneMaker

May 15, 2017 – May 18, 2017

A poster in ROBOMECH 2017, "Development of program for generating pointcloud of bin scene using physical simulation and perspective camera model," introduces this programs.

View Project

Key Strengths

Demonstrated experience with Python and Jupyter Notebook, essential for Data Scientist roles.
Exposure to machine learning concepts through projects like 'Feature-Extraction' (Auto Encoder model).
Experience with C++ and CUDA indicates a strong foundation in performance-critical computing, which can be beneficial in data science for optimizing algorithms.
Involvement in research-oriented projects ('transformer4sr', 'visibleBinSceneMaker') suggests an analytical and problem-solving mindset.

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.

Naoya Chiba

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit