Extracted trending keywords for high-frequency user segments by writing and executing SQL queries
Utilized Python (Pandas, Numpy) for data analysis and reporting process automation, resulting in weekly market reports, improving team efficiency by 50%
Conducted data analysis on influencer shop user behavior using SPSS and Python, employing decision trees to analyze factors influencing user churn and proposed recommendations on product capability enhancements, leading to a 3% increase in influencer shop ROI
Analyzed digital product-related Bilibili content using Python and Excel to create visual reports on content type, purchase scenarios, and key selling points
Leveraged Power BI to develop interactive data-visualization dashboards about key metrics and trends, producing a platform consumption decision report, which helped secure partnerships with 10+ clients
Applied clustering analysis (hierarchical clustering, k-means, and model-based clustering) in R to profile users based on demographic data and clustering variables
Used regression trees and linear regression to predict user ratings based on term frequency and TF-IDF weights, ultimately contributing to a 15% increase in user satisfaction metrics
Business Analysis Intern
EKOS.AI
Boston, USA
11.2023 - 02.2024
Designed and implemented interactive dashboards utilizing Google Analytics and Tableau; performed multivariate analysis on key performance indicators such as visit duration, browsing paths, and click-through rates, which informed data-driven marketing and product strategies leading to a 10% increase in user engagement and a 5% uplift in conversion rates
Initiated and guided A/B testing campaigns to refine digital marketing tactics, utilizing statistical significance testing methods; optimizations led to a 7% cost reduction in customer acquisition and a 12% improvement in retention rates
Collaborated closely with product development teams to translate analytical insights into actionable product enhancements, contributing to a projected 8% growth in product adoption within target markets for the upcoming quarter
Evaluated multiple cloud platforms (e.g., AWS, Google Cloud, Microsoft Azure), focusing on scalability, cost efficiency, and ease of integration, assisting in the implementation of cloud-based data solutions that reduced overall data retrieval time by 15%
Strategy Analysis Intern
Frost & Sullivan
, Remote
10.2023 - 02.2024
Developed a Python-based web scraping tool to automate data extraction from over 70,000+ property listings, including names, locations, and pricing details, reducing manual data entry time by 80% and leading to a 50% increase in the team’s data processing efficiency
Collaborated on projects involving cutting-edge technologies such as robotics, artificial intelligence, and autonomous driving
Identified risks and opportunities for innovation in logistics, e-commerce, and automotive sectors, resulting in the development of three strategic recommendations that improved operational efficiency by 20% and reduced associated risks by 15%
Business Operation Intern
Unilever (China) Co., Ltd.
Shanghai, China
06.2021 - 09.2021
Elevated brand awareness for the incubator through establishing strategic partnerships with 5 entrepreneurial support organizations, investors, and digital solutions companies, and organizing 8 brand workshops, averaging 25 companies in attendance
Designed co-creation product strategies with a global cosmetics retailer and a coffee chain brand by market analysis, user research, and cross-departmental coordination; participated in implementation of product launch and marketing, generating 6K+ in sales
Delivered a potential 15% boost in profitability of a pet fragrance product through spearheading marketing strategies based on social media engagement, website traffic, customer feedback, etc
And sourcing with 20+ suppliers to reduce packaging costs by 8%