James Jiaheng Cui

Data Scientist

https://talent.gravityer.com/james-jiaheng-cui

University of Georgia

Key Strengths

Demonstrated interest in data science and machine learning through personal projects like 'MLSR' and 'Introduction-to-Machine-Learning'.
Experience with Python and Jupyter Notebook, which are core tools for a Data Scientist.
Exposure to spectral analysis applications ('SpectraGuru_beta', 'SpectroSoft3'), indicating a potential niche interest in scientific data.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are primarily personal and academic, showing initiative in learning and applying data science concepts. However, the diversity of technologies outside of data science (e.g., Java, HTML, CSS, Ruby) suggests a broad interest rather than a focused alignment with a specific data science culture. The single listed professional experience as 'Data Scientist' at University of Georgia is current, but without details, it's hard to assess cultural fit.

Soft Skills & Operational Fit

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

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Projects

BSA-protein-superspectra

August 6, 2025 – August 13, 2025

This repository contains experimental BSA superspectra datasets generated from surface-enhanced Raman spectroscopy (SERS) measurements.

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Virus-adsorption-BET-fitting

May 13, 2025 – August 13, 2025

Data repository of the virus adsorption project

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OP-airPLS

December 19, 2024 – March 3, 2025

An adaptive grid search optimization algorithm to find best parameters for the airPLS baseline removal.

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Virus_Co-infection

October 3, 2024 – August 13, 2025

Code repository of the virus mixture project

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docs.spectraguru

August 7, 2024 – Present

docs.spectraguru — GitHub repository

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SpectraGuru_beta

July 20, 2024 – Present

SpectraGuru - A Spectra Analysis Application

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SpectroSoft3

May 2, 2024 – May 4, 2024

Software for Spectral Analysis

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MLSR

December 20, 2020 – September 22, 2021

Maching Learning Scholarship Rater

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Introduction-to-Machine-Learning

October 20, 2020 – September 5, 2021

Algorithms and their realizations taught from Introduction to Machine Learning course.

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JAVA2760-

May 9, 2020 – July 20, 2020

JAVA2760大作业收录

View Project

Key Strengths

Demonstrated interest in data science and machine learning through personal projects like 'MLSR' and 'Introduction-to-Machine-Learning'.
Experience with Python and Jupyter Notebook, which are core tools for a Data Scientist.
Exposure to spectral analysis applications ('SpectraGuru_beta', 'SpectroSoft3'), indicating a potential niche interest in scientific data.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

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

James Jiaheng Cui

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit