Data Analyst

Coco Choi

****.****@************.*** 781-***-**** 1 clock tower drive, Wellesley MA 02481

Available: May 2025-Dec 2025 LinkedIn Portfolio EDUCATION

Northeastern University Boston, MA, U.S.A

Master of Science in Computer Science, GPA: 4.0/4.0 Sept 2024 - Dec 2026

• Related Courses: Data Structures and Algorithms in C, Object Oriented Design, Building Scalable Distributed Systems, Mobile Application Development, Web Development, Advanced Software Development, Computer System Franklin & Marshall College (F&M) Lancaster, PA, U.S.A Bachelor of Arts, GPA: 3.72/4.0 Aug 2018 - Dec 2021

• Major 1: Film/Cinema/Media Studies Major 2: Business Administration and Management TENCINIAL KNOWLEDGE

• Programming Languages: Python (Pandas, NumPy), SQL, Java, C++, C#, JavaScript, HTML/CSS, GO, R

• Data Analytics & Visualization: Tableau, Power BI, Qlik Sense, D3.js, Excel (Pivot Tables, VLOOKUP), Snowflake, DBT

• Data Science & Machine Learning: Scikit-learn, NLP libraries (NLTK, spaCy), Apache Spark, Apache Kafka, XGBoost

• Cloud & Data Management: SQL Server, AWS, Google Cloud, SharePoint, ElasticSearch, MongoDB, Git, Command Line WORK EXPERIENCE

Audi Innovation Research Data Scientist Permanent Beijing, China Jan 2023 - Aug 2024

• Managed 16 data-driven research studies on Audi innovative products, evaluating 26 topics and analyzing feedback from 200+ FDG and 5000+ customers to ensure timely and data-driven decision across marketing, R&D, and product teams.

• Cleaned and processed qualitative and quantitative customer interview data using Python (Pandas, NumPy) for data wrangling and NLP techniques (NLTK, spaCy) to extract key themes and sentiments from open-ended responses.

• Leveraged Python, scikit-learn, and Spark on datasets spanning millions of consumer data points to build predictive models

(85% accuracy) for forecasting future customer preferences, guiding Audi’s product and marketing strategies.

• Engineered a centralized Snowflake data warehouse with DBT models and SQL monitoring scripts to track database performance across environments, enhancing query efficiency and reduced data preparation time by 40%. Mars Inc. Consumer & Market Analyst Intern Hong Kong Feb 2022 - Dec 2022

• Conducted market segmentation analysis using clustering techniques (K-Means, Hierarchical Clustering) to identify high- value customer groups, enabling targeted marketing campaigns that increased customer acquisition by 15%.

• Collaborated with the marketing team to design and execute A/B tests for TikTok Ad’s campaigns, analyzing results using statistical methods (ANOVA, Chi-Square) to optimize ads open rates by 25% and click-through rates by 18%.

• Performed root cause analysis on sales performance data using Python (Pandas, Matplotlib) and SQL, identifying key drivers of underperforming regions and recommending strategies that improved regional sales by 12%. Nielsen Technology in Retailers Consultant Intern Hong Kong May 2021 - Aug 2021

• Automated competitive intelligence reporting by implementing web scraping (BeautifulSoup & Selenium), extracting competitor pricing, product trends, and promotions to enhance market positioning strategies.

• Delivered data-driven presentations using Tableau and Power BI, presented findings to cross-functional teams and clients, effectively communicating technical insights and strategic initiatives to non-technical audiences. PROJECTS

Pet Dating App (Full Stack Development) Northeastern University Nov 2024 - March 2025

• Built a full-stack mobile app with a React Native frontend (Expo) and a Node.js/Express backend, enabling seamless pet swiping, profile viewing, profile matching and real-time chat.

• Designed a user-friendly interface using Material-UI components for consistent and responsive UI/UX.

• Engineered real-time communication using Socket.IO, enabling instant messaging between matched users.

• Leveraged MongoDB's geospatial queries to implement proximity-based matching and integrated robust filtering mechanisms to enhance the relevance of pet suggestions. Research Hub Website Development Audi China May 2023 - Nov 2023

• Designed and developed a web-based research hub using Python (Dash, Flask) for backend logic, HTML/CSS and JavaScript

(React.js) for frontend design, and embedded Tableau and Power BI visualizations for interactive data exploration.

• Enhanced usability with advanced search (ElasticSearch), role-based access control (OAuth 2.0), and customizable dashboards, reducing report search time by 60% and increasing platform adoption by 50%.

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