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自荐信
Letter of self recommendation
—— 博学、审问、慎思、明辨 ——
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INFORMATION
25 years old
Guangzhou City
176000176000
me@huanzhucv.com
Name
huanzhucv
Introduce myself in one sentence and tell HR why they should choose me instead of others.
JOB PREFERENCES
全职
DataScientist
广东广州
面议
随时到岗
EDUCATION
20xx.7-20xx.11
Huanzhu Resume University
Meachine Learning
Situation:Sharing-bike data mining project Data mining class project supervised by the class instructor.
Task:This project aimed to investigate the relationship between sharing bike user numbers and climate factors.
Action:The main machine learning algorithm attempt includes Linear Regression, Gradient Boost Decision Tree. Interesting was found and analyzed. data visualization developed by powerBI.
Result: Successfully analysis the relationship between sharing bike using number and weather factor and report the efforts.
REGISTRATION INFORMATION.
初考成绩
总分
总分成绩
WORK EXPERIENCE
20xx.11-20xx.3
Huanzhu Resume Work Experience Case
Data scientist intern atAir NewZealand
2019.11-2020.3

Situation:Due to the propensity model's row data quality is unstable, the data science team has to manually check and clear data, data science team expended a lot of extra effort in these areas, also, the propensity model data cleaning process runs slowly due to the data overload. In the meanwhile, the data science team has to manage hundreds of models for parameter tuning and deployment, the collaboration between teams becomes cumbersome.
Task: Automating propensity model's data quality assessment and data clearing process, data science models management.
Action:
  • Building Visio workflow for the propensity modeling process to establish a clear logic on propensity model pipeline, process modeling, modeling usage analysis, and modeling opportunities.
  • Model optimization, adding prior probabilities for skew data columns to reduce over-sampling's impact(R, python scikit-learn).
  • Pipeline automation(a solution architecture proposal), refactoring data exploration and data cleaning process by Pyspark(originally developed by R). Developing automated data quality assessment report by Pyspark.
  • Modeling automation(a model management proposal), conducting research and buildingprototype on different data management platforms, researches including using data bricksnotebooks and spark in the backend, package and track the particular models use MLflow and finally use docker as the container. For the CICD pipeline and deployment process, I use Kubernetes.
Result: With the mentor's help, take through the propensity modeling process and dig deeper for some pain points, I can be responsible for the operation and maintenance of the propensity model system independently.



The data exploration and data cleansing process for the rebuilt PySpark version runs twice as fast as before(R version). The modeling automation showcase winning the interns' use case presentation.
20xx.4-20xx.1
Huanzhu Resume Work Experience Case
Data Engineer
Situation: Data engineer team's responsibility is continuously receiving data from other departments, ensure that the data can be stably saved to my department's database, and base on the data we collected, we provided some data statistics and analysis functionality to describe user behavior from different perspectives.
Task:Collecting user behavior data from other departments, developing analytics functions to find users' violation behaviors.
Action:
  • I developed data transfer API (java).
  • Providing and maintaining the API for other departments to transfer data to my department.
  • Data processing script. Extract and parses json files from other departments.
  • Loading data into our department's database.
  • For the data access and storage aspect, establishing statistical analysis database procedures, the develop
  • The service docking of the other departments ensure the progress of data access through communicatio
Result:
Independently responsible for API interface, ETL pipeline and database procedures development and maintenance. 24 hours on call to ensurethe data can be stored in the database intact. Independently developed spark program for historical data analysis.
INTERN ACTIVITIES
PROJECT EXPERIENCE
CAMPUS ACTIVITIES
HONORS & AWARDS
SUMMARY
2 years of experience as a data engineer. With a unique skill set combined with data engineering and data science.So far, I have tackled machine learning methods, R/Python for statistical modeling and data manipulation, Database technology, data warehouse (EDW/Hadoop/Spark) and I am still continuously learning to fill my knowledge gaps.
SKILLS
篇幅不要太长，注意结合简历整体的美观度,我的技能特长应做到突出自身符合目标岗位要求的“卖点”，避免过多使用形容词，而应该通过数据及实例来对自身价值进行深化。
添加技能特长
HOBBY
篇幅不要太长，注意结合简历整体的美观度,我的技能特长应做到突出自身符合目标岗位要求的“卖点”，避免过多使用形容词，而应该通过数据及实例来对自身价值进行深化。
添加兴趣爱好
Objective
Seeking a fulfilling position as a data scientist and support of data, business needs that offers growth opportunities and allows me to utilize my data science and data engineer skills and experience.
Skills
Data Engineer:
Database:MySQL, Oracle, Microsoft SQL Server
Programing language:Python, R, Pyspark
Script development: Linux Shell
Server: AWS
Version Control: Git, JIRA, Bitbucket, Confluence
Big data: Hadoop, Hive, Spark
Data Science:
Programing language: Python, R, Pyspark
Package: Numpy, Scikit learn, TensorFlow
Machine Learning:Machine Learning Algorithm,NLP
Referees
Paulo Gottgtroy
Manager of Data Science Data and Analytics
tel: +6421-1432072
Email: Paulo.Gottgtroy@airnz.co.nz

Edna Lu
Data Scientist
tel:+64-9336 2604
Email:Edna.Lu@airnz.co.nz

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