Engineer Software

Xiandi Luo

Email: *********@*****.*** Tel: 314-***-****

Education

Master of Data Analytics & Statistics, Washington University in Saint Louis 01/2018 – 12/2019 Bachelor of Engineering in Automation 09/2013 – 06/2017 Dept. of Electronic Engineering, Southeast University Chengxian College Nanjing, Jiangsu Province, China Software Skills

Languages: Java, Python, C, C++, SQL, Linux, JavaScript Databases: MySQL, SQL Server, MongoDB, NoSQL

Backend: Django, Node.js

Frameworks: Hadoop, Spark, Django, React

Web Tech: HTTP, TCP/IP, AJAX, API, GitHub

Miscellaneous: Git, AWS, Photoshop

Work Experience

Software Engineer (Intern), Amazon Inc. (Seattle, WA) 05/2019 – 08/2019 Visualized the operational data from data sources to visual tools; designed and developed stable, maintainable and scalable systems and solutions.

• Created a data workflow and data pipeline using AWS services

• Worked with AWS API to describe and provision all the infrastructure resources in the cloud environment

• Used AWS CloudFormation, AWS Glue, AWS Athena, AWS Lambda to extra, transform and load the data

• Wrote Java, Python, SQL to automatically query data

• Made an auto-updated dashboard in Tableau Desktop, published the dashboard to the Tableau Server and every user can view and operate the dashboard

• Edit existing codes to improve data pipeline compatibility and responsiveness

• Participated in weekly Tech team meetings to discuss current and future projects and strategies on how to produce efficient work

IT Support (Intern), China Unicom (Nanjing, Jiangsu Province, China) 05/2017 – 08/2017 Collaborated with the Human Resources department to develop classification models to proactively identify issues that lead to quick employee churn.

• Conducted statistical power analysis and sample size calculation

• Developed automated processes for data extraction, data manipulation, model development, model validation, and prediction

• Designed a Monte Carlo simulation to validate the effectiveness of the aforementioned predictive models Project Netflix User Research Rating Prediction with Collaborative Filtering 11/2018 – 12/2018

• Analyzed the data using Spark and designed the algorithm based on these analysis results

• Constructed MapReduce programs aiming to find Top-K similar movies for a given movie using Cosine similarity

• Built-up the model and implemented it on the Amazon EMR cluster to calculate the predictions and conduct error evaluations upon the results.

Shopping Cart Website 04/2019 – 05/2019

• Used NodeJS with Express and MongoDB to build the shopping cart

• Constructed some functions such as login/ logout, adding or removing goods, having an administrator who creates menu details, showing the order histories, etc.

Urban Rail Transit 02/2017 – 04/2017

• Was responsible for ordered sample cluster analysis, as well as the sample array cluster, to obtain the variation trend of the classification loss function with the classification number

• Served Professor ZHANG Ning and Senior Engineer Xiaoxu Zeng during their project research Dissertation

The Development of Smart Classroom Management System 05/2016 Application of Ordinal Clustering in the Division of Operation Periods for Urban Rail Transit 04/2017

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