I'm a Bachelor of Economics student at Minzu University of China with a passion for data-driven insights and quantitative analysis. Currently maintaining a 3.7/4.0 GPA (Advanced GPA: 3.85/4.0), I combine economic theory with cutting-edge data science techniques to solve complex business problems.
class VivianYin:
def __init__(self):
self.name = "Yueyuan (Vivian) Yin"
self.education = "Minzu University of China | Economics"
self.location = "Beijing, China"
self.interests = ["Data Analytics", "Machine Learning", "Econometrics", "Business Intelligence"]
self.current_focus = "Leveraging AI/ML for economic modeling and business optimization"| Data Analysis & ML | Database & BI | Statistical Tools | Others |
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- Designed a decision-tree model identifying high ROI influencer-product combinations, driving +30% new merchants and +22% sales.
- Conducted A/B testing for couponing strategies, improving redemption rates by 18%.
- Built tiered influencer segmentation frameworks and integrated Hive with Power BI for real-time dashboards.
- Automated data pipelines for 10M+ patent records, improving accuracy to 98% and cutting manual time by 75%.
- Developed multi-dimensional dashboards to monitor KPIs across 100+ global datasets.
- Optimized data tracking pipelines and built behavior monitoring models for anomaly detection.
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Applied Difference-in-Differences models to estimate policy effects
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Developed XGBoost prediction models for 5-10 year investment efficiency forecasting
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Technologies:
Python,Stata,Machine Learning
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Conducted 100+ field interviews and on-site research
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Applied Structural Equation Modeling (SEM) for heritage transmission analysis
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Technologies:
Python,SPSS,Statistical Modeling
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Analyzed 5,000+ product records using FM modeling
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Developed data-driven pricing strategies for market optimization
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Technologies:
Python,Data Mining,Business Intelligence
🎯 Click to view all achievements
- 🥇 Merit-based Scholarship (Top 5%)
- 🥈 2nd Prize - National Business Elite Competition
- 🥉 3rd Prize - Beijing Global AI Algorithm Competition
- 🎓 Cambridge University Exchange Program - Excellent Participant
- 📚 Coursera Certifications:
- Machine Learning Specialization
- Mathematics for Machine Learning (Linear Algebra)
- Advanced Data Science
- 👥 Team Leader - MUC Volunteer Education Team (10+ charity teaching activities)
- 🎓 Class President - 3+ years of leadership experience
- 💻 Department Leader - Security Association IT Department
- 🎵 Creative Member - Campus Choir Publicity Department
graph LR
A[Data Science] --> B[Business Analytics]
B --> C[Strategic Insights]
A --> D[Machine Learning]
D --> E[Predictive Modeling]
A --> F[Econometrics]
F --> G[Policy Analysis]
| Domain | Technologies | Proficiency |
|---|---|---|
| Data Analysis | Python, SQL, Stata, SPSS | ████████████ 95% |
| Business Intelligence | Power BI, Hive, Excel VBA | ████████████ 90% |
| Machine Learning | XGBoost, Decision Trees, SEM | ███████████░ 85% |
| Statistical Modeling | Econometrics, DiD, Time Series | ████████████ 90% |
| Project Management | Jira, Wiki, Agile | ███████████░ 85% |
