Student at Columbia University
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Haoxin Yu is a self-motivated professional interested in data analytics, finance, and consulting. He got his dual Bachelor of Science degree in Data Science at Duke Kunshan University and Duke University. He is currently a graduate student in Applied Analytics Program at Columbia University, planning to graduate in December 2023.
Lenovo Group Co., Ltd. - Market Intelligence Analyst (Intern); Beijing, China July 2021 - November 2021
Spearheaded data-intensive market research for the accessories and smart wearables industries, systematically profiling market size, growth patterns, key competitors, product landscape, and prospective opportunities across 8 distinct categories. Employed regression models to predict the trends and composed over 10 data-rich market research reports
Utilized Qlik Sense and Power BI to dissect multi-dimensional PC market data, utilizing clustering techniques to refine market segmentation, increasing targeting efficiency by 15%
Employed Random Forest models to analyze complex relationships among critical financial indicators derived from competitor and supplier reports, generating insightful findings that guided strategic business adjustments
Volvo Group - Sales Operation Analyst (Intern); Beijing, China May 2021 - July 2021
Led data cleaning for storage/logistics info across three locations, using methods such as outlier detection and missing value imputation, resulted in a 15% increase in the predictive accuracy of the supply chain forecasting models
Applied Anomaly Detection algorithms to financial data, successfully mitigating duplicate fees and expediting the clearance of year-old vendor bills, resulting in a 20% improvement in financial turnaround times
Developed and implemented three ML algorithms (including Random Forest and K-Nearest Neighbors models), alongside uniform data entry and retrieval templates. These innovations optimized budget calculations, reducing data-related operational times by 30%
Deloitte Consulting LLP - Management Consulting Analyst (Intern); Beijing, China September 2020 - January 2021
Analyzed Chinese online education industry's market size, and growth trends; 3 market main players' business model, profits,
and app function; Conducted competitive analysis report (Strategic consulting project of a top education group)
Assessed 6 industry-leading companies' business models, core competence, organization structure, technology, financial analysis, and KPI assessment mechanism (Management consulting project of a state-owned industrial group)
Investigated management mode of 2 benchmark enterprises in the retail industry, assisted in putting forward proposals for a new intelligent retail system and supply chain system (Management consulting project of a sports goods MNC company)
Columbia University, New York, US
MS in Applied Analytics; GPA 4.0/4.0
Relevant Coursework: SQL, Storytelling with Data, Analytics Frameworks and Methods
Duke University, Kunshan, China/Durham, US
BS in Data Science; GPA 3.7/4.0
Relevant Coursework: Machine Learning, Numerical Analysis and Optimization, Interdisciplinary Data Analysis, Data Structures
