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Resume of Yifan Yuan

Basic Infomation

Name: Yifan Yuan

Email: [email protected]

Github: http://github.com/tsingjyujing/

Education

  • Jiangsu University
    • 2011.09 to 2015.06
    • Course Degree: Bachelor of Automobile Engineering

Professional Experience

LINE Fukuoka Co,.Ltd.

  • Position: Machine Learning Engineer
  • Time: 2019.05 until now

Shanghai CVNAVI network technology Co.,Ltd.

  • Position: Big-Data Department Manager
  • Time: 2017.12 until 2019.03
Built Data-Warehouse
  • Leaded big-data group to build batch computation ETL system by Apache Spark and Apache HBase;
  • Designed storage system of data-warehouse by using MongoDB cluster;
  • Built data visualization system by cooperating with front-end group.
Built Real-Time Computation System
  • Selected technology framework to develop, we use Apache Kafka and Apache Flink to processes hight TPS real-time data (about 2k~20k TPS);
  • Leaded team to build streaming computation ETL system.
Driving Behavior Analysis
  • Preprocessed data from data-warehouse.
  • Accomplished driving behavior classification model by analysis claim data, we used logistic model to predict the risky of vehicle by it's driving behavior features in data-warehouse;
  • Built real-time prediction system by using Apache Flink and write a Django application to provide service.
Others
  • Database middleware developing (Based on MyCat);
  • Built GIS system by Spring Boot + GeoScala

Shaanxi Heavy-Duty Truck Co., Ltd.

  • Position: Data Analyst
  • Time: 2015.9 to 2017.12
Fault Prediction
  • Extracted features (location/temperature/CAN data/etc..) from database for analysis;
  • Analyzed the relation between the extracted features and maintenance records by logistic regression;
  • Predicted the damaging risky of running vehicles.
User Profile Cluster Analysis
  • Feature engineering, extracted features data from large scale data and do preprocessing;
  • Constructed an model (based on K-means and Metric MDS) to analysis clusters in extracted data;
  • Tagged the clusters manually and build predict model to mapping new data into clusters;
  • Built HTTP API by Django to provide classify service to front-end.
Fuel Consumption Analysis
  • Feature engineering, extracted the features that may affect fuel consumption;
  • Explored the correlation between fuel consumption and driving behavior by using linear regression.