Nemin Wu

Data Scientist

https://talent.gravityer.com/nemin-wu

PhD @ UGA | PhD Resident @ Google X

Member since June 29, 2026

Key Strengths

Demonstrated interest in Spatial Representation Learning and geographical data through projects like TorchSpatial and GeoBS.
Proficiency in Python and Jupyter Notebook, essential tools for Data Scientists.
Experience with web technologies (HTML, CSS, JavaScript) which can be beneficial for data visualization or web-based data applications.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are primarily personal and research-oriented, focusing on geographical data and spatial analysis. While this shows initiative, the breadth of projects outside this specific niche is limited. The 'experienceLevel' is 0, indicating a lack of professional experience, which might impact immediate cultural integration into a fast-paced industry role without prior exposure to team dynamics and corporate environments.

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

uga_presentation_template

May 12, 2026 – Present

uga_presentation_template — GitHub repository

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Geographical-Scaling-Law

February 5, 2025 – March 4, 2025

Geographical-Scaling-Law — GitHub repository

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GeoBS

December 23, 2024 – Present

GeoBS — GitHub repository

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neminwu.github.io

September 27, 2024 – Present

neminwu.github.io — GitHub repository

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TorchSpatial

May 14, 2024 – October 14, 2025

TorchSpatial offers a comprehensive framework and benchmark suite designed to advance Spatial Representation Learning (SRL).

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TorchSpatial_doc

February 16, 2024 – June 5, 2024

TorchSpatial_doc — GitHub repository

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TwitterAnalysis

April 30, 2022 – May 8, 2022

TwitterAnalysis — GitHub repository

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AADM

April 24, 2022 – May 11, 2022

First try at AADM Map

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UGA-Plants

April 16, 2022 – April 16, 2022

UGA-Plants — GitHub repository

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iso1861-UTC-timestamp-transfer-to-local-time

November 26, 2021 – December 17, 2021

transfer iso1861/UTC/timestamp to local time, based on coordinate(longtitude&latitude)/time zone

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Key Strengths

Demonstrated interest in Spatial Representation Learning and geographical data through projects like TorchSpatial and GeoBS.
Proficiency in Python and Jupyter Notebook, essential tools for Data Scientists.
Experience with web technologies (HTML, CSS, JavaScript) which can be beneficial for data visualization or web-based data applications.

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.

Nemin Wu

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit