High-achieving Economic Statistics undergraduate with a strong foundation in data analysis, statistical modeling, and business intelligence, seeking to leverage Python, SQL, and Excel expertise to drive operational efficiency. Proven ability to translate complex data into actionable insights, enhance reporting accuracy, and contribute to data-driven decision-making, as demonstrated through impactful internships and academic projects.
Marketing Department Data Operations Intern
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Summary
Supported the Marketing Department by managing critical data operations and reporting, directly contributing to enhanced event completion rates and sales force recruitment targets.
Highlights
Managed daily data operations using Excel to track and update reports for training completion, onboarding, and sales events, ensuring data accuracy and integrity.
Utilized advanced Excel functions to match active sales force data with target sessions, improving data alignment for strategic planning and resource allocation.
Provided data-driven recommendations for periodic event planning, including small group meetings and creative talks, aligning activity arrangements with evolving business development needs.
Achieved a 40% increase in the completion rate of key marketing events, directly contributing to new external recruitment exceeding monthly review targets ahead of schedule.
Market Statistician Intern
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Summary
Conducted comprehensive market data analysis and reporting for the hardware industry, providing critical insights published on a national platform.
Highlights
Extracted and aggregated financial, transaction, and pricing data for various operating entities from enterprise research databases using SQL and Excel, ensuring data readiness for analysis.
Cleaned and organized large datasets using Python, then calculated various hardware product indices (price, prosperity, and auxiliary) across diverse industries like kitchenware and electromechanical hardware.
Performed in-depth industry analysis based on the calculated Hardware Index system, identifying key market trends and providing actionable insights for strategic decision-making.
Authored 4 issues of the 'China Yongkang Hardware Market Transaction Weekly Price Index Review,' all officially published on the Ministry of Commerce's 'Business Forecast' website.
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Bachelor
Economic Statistics
Grade: Ranked 1st percentile (1/276) in comprehensive evaluation for Statistics; 2nd percentile (2/115) in major GPA
Awarded By
Zhejiang University of Finance and Economics
Recognized as one of the top 10 students for outstanding academic achievements and leadership contributions.
Awarded By
Zhejiang Provincial Government
Awarded for exceptional academic performance and significant contributions to the university community.
Awarded By
Zhejiang University of Finance and Economics
Received for achieving top academic standing within the university, demonstrating consistent excellence.
Awarded By
Zhejiang University of Finance and Economics
Honored for excellence across academics, moral character, and physical fitness, embodying comprehensive student development.
Python, SQL, Excel, Pandas, NumPy.
Data Cleaning, Data Aggregation, Statistical Modeling, Time Series Analysis, Feature Engineering, Predictive Modeling, SMOTE, Quantitative Analysis.
Data-driven Decision Making, Market Analysis, Performance Tracking, Report Writing, Business Forecasting, Operational Efficiency.
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Summary
Led a project to analyze 1.04 million data points from 10 production lines for fault prediction and designed optimized personnel scheduling based on departmental needs.