Help & Supportcareers@gravityer.com
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Senior Data Scientist at DataRobot
⇒ Kaggle Competitions GrandMaster Certified(13Gold https://www.kaggle.com/senkin13) H&M Personalized Fashion Recommendations Winner Kaggle Days Championship Moscow Winner OTTO – Multi-Objective Recommender System 2nd-place Open Problems - Multimodal Single-Cell Integration 2nd-place UM - Game-Playing Strength of MCTS Variants 3rd-place ⇒ 10 years experience in Data Science & Machine Learning ⇒ 5 years experience in Hadoop Spark Ecosystem & DWH/BI ⇒ Strong handson skills on machine learning library like pandas,numpy,scipy,scikit-learn,xgboost,lightgbm,pytorch,tensorflow,keras... ⇒ Strong Knowledge on Hadoop/Spark ecosystem components like HDFS, MapReduce, Yarn, Impala, Hive, Hbase, Solr, Oozie, Sqoop, Hue, Fluentd, Flume, Spark,SparkSql,Mllib,SparkStreaming, PredictionIO. ⇒ Strong knowledge on Data Analysis System and BI like Druid, Caravel, Elasticsearch, Kibana, Mysql, Pentaho, Google Analytics. ⇒ Designing & Installing & Managing & Administring multiple nodes Cloudera cluster(CDH3 & CDH4 & CDH5) with KickStart, Ansible, Git, ClouderaManager, Opentsdb, Zabbix, Munin, observium. ⇒ 3 years experience on Management. Building and Leading a five-member System Administration Team. ⇒ 3 years experience on Developing application. Strong knowledge on Linux, Java, Scala, Python, Perl, Shell, Apache, Nginx, Tomcat, Memcached, CDN, Mysql, Mssql. ⇒ 3 years experience on infrastructure management. Strong knowledge on Onpremis Infrastructure like Linux Server, Firewall, Switch. Strong knowledge on Cloud like AWS,IDCF. ⇒Machine Learning(cousera stanford university) Certified,Hadoop Administrator(CCAH) and Spark Developer(Developer Certification for Apache Spark) .
East China University of Science and Technology
Bachelor's degree, Applied Mathematics
January 1, 2002 – January 1, 2006
DataRobot
Senior Data Scientist
February 1, 2020 – Present
Tokyo, Japan
Fast Retailing
Data Scientist
July 1, 2017 – January 1, 2020
Within 23 wards, Tokyo, Japan
LINE Corp
Bigdata Engineer
May 1, 2016 – June 1, 2017
OPT Holding
Data Engineer & Machine Learning Engineer
January 1, 2015 – May 1, 2016
Square Enix
Bigdata Engineer
September 1, 2013 – December 1, 2014
C&C Media Co., Ltd.
Full Stack Engineer
September 1, 2008 – August 1, 2013
JAIC
Software Engineer
March 1, 2008 – August 1, 2008
AIC
Software Engineer
July 1, 2006 – February 1, 2008
Neural Networks and Deep Learning
Coursera
June 24, 2026 – Present
Machine Learning
Coursera
June 24, 2026 – Present
Developer Certification for Apache Spark
Databricks
June 24, 2026 – Present
Cloudera Certified Administrator for Apache Hadoop (CCAH)
Cloudera
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a diverse professional background spanning multiple industries (gaming, retail, advertising, AI services) and roles (Software Engineer, Full Stack Engineer, Big Data Engineer, Data Scientist, Senior Data Scientist). This breadth of experience suggests adaptability and a willingness to tackle varied challenges. The progression from software engineering to big data and then to data science/ML indicates a continuous learning mindset. The experience in building platforms from scratch aligns well with roles requiring innovation and foundational development. The target role of Big Data Engineer aligns well with the candidate's early and mid-career focus on big data infrastructure and ETL.
Soft Skills & Operational Fit
The candidate's experience as a Technical Lecturer and AI Evangelist suggests strong communication and presentation skills. Leading 30+ enterprise AI/ML projects implies strong client-facing communication and project management abilities. The descriptions indicate a proactive approach to building systems from scratch, suggesting initiative and problem-solving skills. However, without specific psychometric test results, a detailed assessment of work attitude, stress handling, and team collaboration is not possible.