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.
· 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.
Used WSL and TCP/IP, HTTP, netcat, etc. to deploy the WSL and MQTT environment for Apache Flink.
Processed simulated batch data and stream data using various Apache Flink APIs.
Conducted market research about China’s smart healthcare market.
Participated in the production of the research report.
Worked with other students and professional staff to finish culinary and food prep work.
Operated cash register/POS system.
Maintained a sanitary and inviting dining and working area.
Research under Prof. Cherkes’ supervision regarding topics of securities and market analysis.
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.
Conducted a final presentation and a report of the paper.
Followed a PhD mentor’s research regarding topics of Computability and Kolmogorov Complexity.
Discussed with the mentor and peers about certain problems and made presentation every week.
Conducted a 15-minute defense presentation at the end of semester.
Reviewed, supervised and processed data from environmental monitoring.
Sorted, classified and arranged the processed data using Excel and Python.
Researched data according to specific scenarios.
Analyzed possible problems and reported timely.
نظام التوظيف التشغيلي المعتمد على الذكاء الاصطناعي أولاً، الذي يوحّد ويؤتمت دورة التوظيف بالكامل للمؤسسات الحديثة حول العالم.
د.جوب منطقة حرة ذ.م.م. 2026 © جميع الحقوق محفوظة
