Xiaotong Zeng
I graduated from University of California, San Diego with degrees in Data Science and Cognitive Science with a Specialization in Machine Learning and Neural Computation. My interest lies in Data Analysis, Machine Learning, and Business Analytics, specifically in the field of E-commerce and Digital Marketing. I am eager to explore ways on how Data Science can be applied to promote effective marketing strategies in managing customer lifecycle.
Email: x6zeng@ucsd.edu
GitHub: https://github.com/x6zeng
LinkedIn: https://www.linkedin.com/in/tony-zeng-3a2209153/
Education
University of California San Diego
-
B.S. in Data Science
-
B.S. in Cognitive Science - Specialization in Machine Learning and Neural Computation
Graduation Date: June 2023
GPA: 3.92
Professional Experience
Amazon | Seattle, WA
Data Engineer Intern
June 2022 – September 2022
- Captured General Outbound Campaigns (GOCs) data from external APIs and designed data models to store the GOCs data, enabling analysis on broadcasts and candidate responses.
- Constructed ETL pipelines using Python, SQL, S3, and Airflow to extract and populate the data models; backfilled two years of historical GOCs data, allowing the Candidate Services teams to report on GOCs performance metrics.
Illuminera | Shanghai, China
Business Intelligence Intern
April 2021 – October 2021
- Created a Quick BI dashboard, analyzed user growth and behavior patterns for a marketing app with 70,000+ users.
- Automated the user classification system through advanced fraud detection algorithms, improving operational efficiency by 20%.
- Designed customized mobile reports on RED based on different customer profiles, showcasing users the latest marketing trends.
WuXi AppTec | Shanghai, China
Data Analyst Intern
July 2020 – March 2021
- Established a dashboard using Oracle APEX; analyzed the usage and the lifecycle of 100+ internal applications.
- Crawled 30+ public government websites using Scrapy, performed data cleaning through SQLAlchemy on databases including Oracle, MySQL, SQL Server, and built a data pipeline to monitor the latest fiscal policy.
- Performed topic clustering on the responses from the chatbot, enhancing user experience by summarizing the feedback.
Academic Experience
UC San Diego School of Global Policy and Strategy (GPS) | San Diego, CA
Staff Research Associate
July 2023 – Present
- Predicted the sentiment of US-Congressional tweets toward China using pre-trained LLMs including BERT, DistilBERT, and RoBERTa, achieving an accuracy of 92% and automating the sentiment labeling process.
UCSD Design Lab | San Diego, CA
Research Assistant June 2022 – August 2022
- Performed LDA topic modeling and sentiment analysis on Twitter and Reddit data, monitoring sentiment changes on popular topics associated with the growth of misinformation.
Activities
Data Science Student Society at UCSD | San Diego, CA
Consultant
September 2022 – July 2023
- Utilized supervised ML models to automate the assessment process of business sustainability for a local social impact analytics company.
- Organized and advertised year-round Data Science-related events, including speaker panels and career fairs.
Chinese Computer Community at UCSD | San Diego, CA
Developer January 2020 – June 2023
- Collaborated on projects in the field of Computer Vision, Machine Learning, and NLP Analysis.
- Created the official website for a local restaurant at UCSD.
- Participated in quarterly Kaggle competitions including Twitter Sentiment Analysis & Bengali Grapheme Classification.
Skills
Area | Skills |
---|---|
Programming | Python, R, Java, HTML, CSS, JavaScript |
Machine Learning | TensorFlow, Pytorch, Scikit-learn |
Data Analysis | SQL, Pandas, Numpy |
Database | MySQL, Oracle, SQL Server, MongoDB, ETL, Airflow, S3 |
Business Intelligence | Tableau, PowerBI, QuickBI, Qualtrics, Excel |
Languages | Chinese (Native Proficiency), English (Native Proficiency) |
Hobbies
I like to play basketball and badminton as well as travel to places around the world. In my free time, I love to experience new food and learn how to cook them myself.