xingxingt

Data Scientist

https://talent.gravityer.com/xingxingt

When your talents can't support your ambitions, you should calm down and learn!

Member since June 25, 2026

Key Strengths

Exposure to various programming languages including Scala, Java, Python, and R, which are relevant for data science.
Experience with Spark, specifically Spark MLlib and Spark 1.6 source code reading, indicating foundational knowledge in big data processing and machine learning frameworks.
Personal projects demonstrate initiative in exploring core technologies like concurrent programming and core codebases.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's personal projects show a breadth of interest in different technologies (Java, Scala, JavaScript, Python, R) and areas (concurrency, big data, web development). This diversity could indicate adaptability and a willingness to learn, which are positive for cultural fit. However, the projects are primarily personal and lack detailed descriptions of collaboration or impact, making a comprehensive assessment difficult. The target role is 'Data Scientist', and while Spark and R/Python are relevant, the overall project portfolio is quite broad and not exclusively focused on data science applications.

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

spark.mlib

December 17, 2018 – December 29, 2018

spark ml learn

View Project

spark1.6

October 23, 2018 – July 23, 2020

spark1.6版本源码阅读

View Project

concurrent

July 15, 2018 – March 21, 2020

java concurrent demo

View Project

centrecode

July 5, 2018 – October 4, 2022

Core code base

View Project

hardself

July 5, 2018 – August 6, 2018

codes

View Project

doc

July 4, 2018 – May 14, 2020

docs

View Project

Key Strengths

Exposure to various programming languages including Scala, Java, Python, and R, which are relevant for data science.
Experience with Spark, specifically Spark MLlib and Spark 1.6 source code reading, indicating foundational knowledge in big data processing and machine learning frameworks.
Personal projects demonstrate initiative in exploring core technologies like concurrent programming and core codebases.

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.

xingxingt

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit