Yuhan GUO

Data Scientist

https://talent.gravityer.com/yuhan-guo

Member since June 19, 2026

Key Strengths

Demonstrated interest and practical experience in Natural Language Processing (NLP) through projects like 'unisense' (sentiment analysis package), 'sentiment_analysis' (deep learning for sentiment analysis), 'translate-demo' (machine translation interface), and 'koroker' (sequence labeling).
Proficiency in Python, which is a core language for Data Science, evidenced by its use across multiple personal projects.
Familiarity with Jupyter Notebook for data exploration and model development ('text-preprocessing', 'prim_dl').
Experience with foundational deep learning concepts ('sentiment_analysis', 'prim_dl').

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are exclusively personal and academic in nature, indicating a strong individual drive for learning and exploration in data science and NLP. However, there is no information regarding team collaboration, project management, or experience in diverse work environments, which makes a comprehensive cultural fit assessment challenging. The projects align well with a Data Scientist role, particularly one focused on NLP.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The candidate's profile primarily showcases technical project work without details on collaboration, problem-solving approaches, or communication styles.

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Projects

exp-repo

April 28, 2020 – March 25, 2023

exp-repo — GitHub repository

View Project

text-preprocessing

March 30, 2018 – July 5, 2018

playground for text preprocessing

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translate-demo

December 26, 2017 – December 29, 2017

simple demo interface for machine translation

View Project

unisense

November 13, 2017 – June 29, 2018

python package for sentiment analysis

View Project

koroker

October 19, 2017 – July 2, 2018

sequence labeling by python

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sentiment_analysis

November 23, 2016 – September 11, 2017

Sentiment Analysis by Deep Learning

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prim_dl

April 13, 2016 – March 20, 2017

This is prim for deep learning

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ACM_Online_Judge

May 17, 2015 – May 24, 2015

Here are my solutions for the ACM questions at the online judge website

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Key Strengths

Demonstrated interest and practical experience in Natural Language Processing (NLP) through projects like 'unisense' (sentiment analysis package), 'sentiment_analysis' (deep learning for sentiment analysis), 'translate-demo' (machine translation interface), and 'koroker' (sequence labeling).
Proficiency in Python, which is a core language for Data Science, evidenced by its use across multiple personal projects.
Familiarity with Jupyter Notebook for data exploration and model development ('text-preprocessing', 'prim_dl').
Experience with foundational deep learning concepts ('sentiment_analysis', 'prim_dl').

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Yuhan GUO

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit