Chen-Hsi Huang

Data Scientist

https://talent.gravityer.com/chen-hsi-huang

#MachineLearning #ComputationalMaterialsScience #UCLA #ClaraAnalytics #KLA #Google #MachineLearningEngineer

Google

Key Strengths

Extensive experience with Python for machine learning and data analysis, demonstrated through numerous Kaggle competitions and personal projects.
Strong background in time series forecasting, evidenced by the 'kaggle-web-traffic-time-series-forecasting' project.
Proficiency in competitive data science, achieving high ranks in Kaggle and TBrain competitions.
Experience with C++ for scientific simulations, indicating a strong analytical and problem-solving foundation.
Directly relevant experience as a Data Scientist at Google, although no duration is specified.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio demonstrates a strong interest in competitive data science and scientific computing, suggesting a drive for problem-solving and continuous learning. The diversity of projects, from web traffic forecasting to kinetic Monte Carlo simulations, indicates adaptability and a broad technical curiosity. The current role at Google as a Data Scientist aligns well with the target role, suggesting a good cultural fit for a data-driven environment.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights.

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

fastest-curve

September 19, 2021 – September 19, 2021

Which curve give you the fastest descent?

View Project

tbrain-realestate

October 3, 2019 – February 5, 2020

4th place solution to the TBrain competition

View Project

kaggle-porto-safe-driver-prediction

December 9, 2017 – December 12, 2017

won silver medal, 164th of 5169

View Project

kaggle-dogs-vs-cats-redux

July 23, 2017 – July 23, 2017

kaggle-dogs-vs-cats-redux — GitHub repository

View Project

kaggle-web-traffic-time-series-forecasting

July 21, 2017 – October 3, 2019

Solution to Kaggle - Web Traffic Time Series Forecasting

View Project

kaggle-digit-recognizer

July 7, 2017 – July 16, 2017

Kaggle - Digit Recognizer with ANN

View Project

MachineLearning

June 25, 2017 – December 10, 2017

contains all my machine learning implementations

View Project

scd_WRe

May 28, 2017 – July 9, 2017

stochastic cluster dynamic simulation for W-Re alloy (a continuum diffusion-reaction modeling)

View Project

insight_coding_challenge

April 5, 2017 – April 5, 2017

analytic program for log file of a web server

View Project

kmc_ABVI_surface

August 21, 2015 – March 6, 2017

kinetic Monte Carlo simulation program for radiation damage problems

View Project

Key Strengths

Extensive experience with Python for machine learning and data analysis, demonstrated through numerous Kaggle competitions and personal projects.
Strong background in time series forecasting, evidenced by the 'kaggle-web-traffic-time-series-forecasting' project.
Proficiency in competitive data science, achieving high ranks in Kaggle and TBrain competitions.
Experience with C++ for scientific simulations, indicating a strong analytical and problem-solving foundation.
Directly relevant experience as a Data Scientist at Google, although no duration is specified.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights.

Chen-Hsi Huang

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit