About Me
LINGYU ZHOU is a Master of Professional Study in Applied Statistics with a Data Science focus at Cornell University and a Bachelor of Science in Mathematics with a Data Science Minor from the University of Wisconsin-Madi…
LINGYU ZHOU is a Master of Professional Study in Applied Statistics with a Data Science focus at Cornell University and a Bachelor of Science in Mathematics with a Data Science Minor from the University of Wisconsin-Madison. Experience includes research in finance and marketing analysis, data analysis internships, and work with Python, SQL, SAS, Java, R, C++, Stata, Apache Flink, Hadoop, Tableau, and PowerBI.
Experience
Data Analyst, Engineering
· Used WSL and TCP/IP, HTTP, netcat, etc to deploy the WSL and MQTT environment for Apache Flink
for processing simulated batch data, and stream data using various Apache Flink’s APIs.
· Conducted market research about China’s smart healthcare market and participated in the production of the research report.
Data Analyst, Engineering
<p>Used WSL and TCP/IP, HTTP, netcat, etc. to deploy the WSL and MQTT environment for Apache Flink.<br>
Processed simulated batch data and stream data using various Apache Flink APIs.<br>
Conducted market research about China’s smart healthcare market.<br>
Participated in the production of the research report.</p>
University Housing Team Member
<p>Worked with other students and professional staff to finish culinary and food prep work.<br>
Operated cash register/POS system.<br>
Maintained a sanitary and inviting dining and working area.</p>
Undergraduate Research, directed by Prof. Martin Cherkes (Princeton University)
<p>Research under Prof. Cherkes’ supervision regarding topics of securities and market analysis.<br>
Refined and published an academic paper about Live Hog Futures’ Analysis in China on Applied Economics and Policy Studies (AEPS) and Advances in Economics Management and Political Sciences.<br>
Conducted a final presentation and a report of the paper.</p>
Undergraduate Research, directed by Jacob B Fiedler (University of Wisconsin-Madison)
<p>Followed a PhD mentor’s research regarding topics of Computability and Kolmogorov Complexity.<br>
Discussed with the mentor and peers about certain problems and made presentation every week.<br>
Conducted a 15-minute defense presentation at the end of semester.</p>
Data Analyst
<p>Reviewed, supervised and processed data from environmental monitoring.<br>
Sorted, classified and arranged the processed data using Excel and Python.<br>
Researched data according to specific scenarios.<br>
Analyzed possible problems and reported timely.</p>