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<!DOCTYPE html>
<html>
<head>
<meta charset="utf-8" />
<meta name="generator" content="pandoc" />
<meta http-equiv="X-UA-Compatible" content="IE=EDGE" />
<title>Zheyan Liu</title>
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<span class="icon-bar"></span>
<span class="icon-bar"></span>
<span class="icon-bar"></span>
</button>
<a class="navbar-brand" href="index.html">Home</a>
</div>
<div id="navbar" class="navbar-collapse collapse">
<ul class="nav navbar-nav">
<li>
<a href="experience.html">Experience</a>
</li>
</ul>
<ul class="nav navbar-nav navbar-right">
<li>
<a href="mailto:<[email protected]>">
<span class="fa fa-envelope fa-lg"></span>
</a>
</li>
<li>
<a href="./resources/Liu.Zheyan.Resume.pdf">
<span class="fa fa-address-book fa-lg"></span>
</a>
</li>
<li>
<a href="https://www.linkedin.com/in/zheyanliu999/">
<span class="fa fa-linkedin fa-lg"></span>
</a>
</li>
<li>
<a href="https://github.com/zheyanliu99">
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</a>
</li>
</ul>
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</div><!--/.container -->
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<div id="header">
<h1 class="title toc-ignore">Zheyan Liu</h1>
</div>
<p><link rel="stylesheet" href="academicons.css"/> <link rel="stylesheet" href="styles.css" type="text/css"></p>
<p><br></p>
<div id="education" class="section level3">
<h3>EDUCATION</h3>
<p><strong>Columbia University - Mailman School of Public Health</strong> <span style="float:right"><em>Expected May 2023</em></span></p>
<p>Master of Science in Biostatistics, Specialization in Data Science<br />
Relevant Coursework: Introduction to Database, Data Science (R), Biostatistics Method</p>
<p><strong>Shanghai University of Finance and Economics (SUFE) - School of Statistics and Management</strong>, China <span style="float:right"><em>June 2021</em></span></p>
<p>Bachelor of Science Statistics<br />
Relevant Coursework: Data Mining (Python), Machine Learning, Computational Programming (C++), Mathematical Analysis, Probability, Advanced Mathematics, Regression Analysis (R, SAS), Random Process, Database Theory (SQL, C#), EDA (R)</p>
<p><br></p>
</div>
<div id="professional-experience" class="section level3">
<h3>PROFESSIONAL EXPERIENCE</h3>
<p><strong>Ping An Technology | Data Scientist Intern</strong> , Shanghai, China <span style="float:right"><em>April 2021 – July 2021</em></span></p>
<ul>
<li>Implemented and deployed of data pipelines, data models, and ETL processes with PySpark in Apache Zeppelin</li>
<li>Optimized web crawlers code and feature engineering process; improved efficiency by 40%</li>
<li>Used LightGBM, XGBoost to predict if customer will renew auto insurance and health insurance with AUC 0.93; researched the feasibility of implementing the GNN auto insurance anti-fraud model</li>
</ul>
<p><strong>Shengqu Games | Data Analyst Intern</strong> , Shanghai, China <span style="float:right"><em>October 2020 – April 2021 </em></span></p>
<ul>
<li>Reduced reporting time from hours to seconds by using SQL and Python to query data and automate reporting</li>
<li>Researched on user payment/churn issues and provide in-depth data reports to the game planner teams with Tableau and Plotly</li>
<li>Predicted user churn with AUC 0.92 using Kmeans, RFM analysis, and an ensembled model of XGBoost and Random Forest</li>
</ul>
<p><strong>Hylink Digital Solution | Data Analyst Intern</strong>, Shanghai, China <span style="float:right"><em>August 2020 – October 2020</em></span></p>
<ul>
<li>Wrote Python code to update daily/weekly report and built a new data dashboard on Excel to demonstrate performance of campaign to our client (PayPal) with convenience</li>
<li>Undertake exploratory data analysis (using Python and Tableau) towards weekly campaign data on several media such as Baidu and Google to offer business insights to our client</li>
</ul>
<p><br></p>
</div>
<div id="project-experience" class="section level3">
<h3>PROJECT EXPERIENCE</h3>
<p><a href="https://github.com/zheyanliu99/NewYorkTimes-bestseller-book-pipeline.git"><strong>New York Times Best-seller Book Pipeline| Team Leader</strong></a>, New York, United States <span style="float:right"><em>Feb 2022</em></span></p>
<ul>
<li>Created DAG in Airflow to extract data from <a href="https://developer.nytimes.com/docs/books-product/1/routes/lists.json/get">NYTimes Books API</a> and sent the results to customized email recipients weekly.</li>
<li>Transformed and cleaned the format of the extracted data and containerized the project with Docker</li>
</ul>
<p><a href="https://github.com/zheyanliu99/Covid_reporting.git"><strong>Azure Data Factory Project on Covid19 Reporting| Team Leader</strong></a>, New York, United States <span style="float:right"><em>Dec 2021 – Jan 2022</em></span></p>
<ul>
<li>Created Data Flows to ingest and transform data from sources as HTTP; Scheduled pipelines with triggers to update daily</li>
<li>Leveraged Azure Monitor and Log Analytics to monitor pipelines and used Power BI to build a reporting dashboard</li>
</ul>
<p><a href="https://zheyanliu99.github.io/SubwayCrime/"><strong>NYC Subway Crime GNN Prediction and Application | Team Leader</strong></a>, New York, United States <span style="float:right"><em>Nov 2021 – Dec 2021</em></span></p>
<ul>
<li>Cleaned and imputed 10 years of New York City subway passenger data; Built project website and organized report</li>
<li>Conducted EDA on subway passenger flow and location; Clustering station coordinates into 8 clusters with K-means</li>
<li>Built <a href="https://zheyanliu.shinyapps.io/NYC_subway_findroute/">Crime-free Subway Route Identification Rshiny App</a> based on Google Map Api and adapted GNN to predict crime in each route</li>
</ul>
<p><a href="https://drive.google.com/file/d/1MnkX2jXGbPo4bRh-x2iJsHJWTOl1W9HY/view?usp=sharing"><strong>Sentiment Analysis of Covid19 Internet Public Opinions | (Graduation Thesis)</strong></a>, Shanghai, China <span style="float:right"><em>April 2021 – May 2021</em></span></p>
<ul>
<li>Performed exploratory data analysis based on the text data related to the epidemic situation in Weibo.</li>
<li>Used methods such as back translation, Bert synonymous replacement, and random replacement for data strengthen.</li>
<li>Establish and tune BERT and FastText-based SVM and XGBoost models to predict sentiment tendency with AUC 0.89</li>
<li>Applied voting model to the crawled epidemic-related Weibo data, and analyzed online public opinion of Covid</li>
</ul>
<p><strong>Empirical Covid19 and market volatility | Research Assistant</strong>, Shanghai, China <span style="float:right"><em>April 2020 – June 2021</em></span></p>
<ul>
<li>Determined value for each parameter in SEIRD model through reading plenty of related papers and found the underlying relationship within variables</li>
<li>Programmed using Python to simulate data under seven different circumstances</li>
<li>Recorded findings and optimized scripts to simulate data efficiently and increase detailed markdown and annotation</li>
<li>Conducted sensitivity test on parameters to give Covid-control policy suggestions</li>
</ul>
<p><strong>Design of Database for SUFE Volunteer Management System | Team Leader</strong>, Shanghai, China <span style="float:right"><em>Nov 2019 – Jan 2020</em></span></p>
<ul>
<li>Co-analyzed needs of project, drawn E-R diagram to optimize data model and used SQL Server to establish database</li>
<li>Developed user platform with C# Windows Forms to interact with database and responsible for testing and debug</li>
</ul>
</div>
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