CV
Education
- B.S. in Southwestern University of Finance and Economics, 2015-2019
- M.S. in Simon Business School, University of Rochester, 2019-2020
Simon Practicum Project
- City of Rochester(Marketing Data Analyst)
- Consulted with Mayor’s Office of Innovations & Strategic to craft a data-driven strategy to attract investment and increase economic diversity, with the ultimate goal to increase the city’s employment opportunities, sales tax revenue, building occupancy, and retail offerings.
- Consolidated data from Census Bureau and City by Python, established a deep neural network model to predict the optimal retailer, and identified the best site to start a new business.
Case Competitions
- Iron Mountain & Pricefx Pricing Case Competition: Second place
- Evaluated the pricing strategy for IRM’s recently acquired asset in Los Angeles by conducting a break-even analysis, discovering an opportunity for revenue increase.
- Performed exploratory data analysis by Python to capture the price variance across different markets in the US, identified potential market segmentations, and developed pricing strategies based on different segments.
- Humana-Mays Healthcare Analytics 2019 Case Competition: Top 50 out of 460 teams
- Analyzed dataset covering 7 million rows of 4-year medical records for 1,400 patients to identify and label patients who have long-term opioid therapy, and provided recommendations for Humana to make a timely intervention.
- Performed feature engineering from past diagnoses, medical claims and prescriptions; used cross-validation to tune and evaluate multiple models, and eventually choose Light GB model to make predictions, achieving 0.88 AUC score.
Professional experience
- HSBC Software Dev, Ltd. (Global Technology Graduate Program Trainee) - Guangzhou, China
- 1st Rotation – Business Intelligence Engineer
- Lead the E2E business intelligence project for credit & lending suite of Apps from business requirements gathering, metrics set-up, dimentional data model designing, dashboard development to production delivery:
- Communicated with product owners across countries to analyze business requirements and build up metrics framework for key functions within the credit and lending journey by markets and time periods.
- Designed and built analytical dashboards with Power BI to empower 8 different markets by monitoring the turn around time for each step of the credit and lending journey to improve the operational efficiency.
- Refined the design, development and maintenance of the underlying data models, which highly improved the performance of the MI reports.
- Participated in the entire development lifecycle: cooperated with DevOps specialist for version control and CI/CD pipeline setup, assisted with user-acceptance testing and defect tracking, worked with release team for application go-live, access control and permission management.
- Tencent (Data Analyst Intern) - Shenzhen, China * Extracted core operational data by Hive and Spark based on billions of user behavior information.
- Cooperated with QQ browser product teams to analyze the data based on their business logic and requirements.
- BMW Mobility Services, Ltd. (Operational & Marketing Intern) - Chengdu, China
- Managed social media accounts to promote company’s product, winning two B2B orders for conference rentals.
- Upgraded regular statistical work on daily usage of fuel cards; built a model to control average cost for each fleet and monitored driver behavior patterns.
- Collected raw data from Cockpit database to generate KPI reports and completed marketing research analysis and highlighted results in a PowerPoint presentation to identify key findings.
- Organized driver meetings and negotiated with coordinating vendors resulting in a 10% cost reduction.
- Haitong Securities (Assistant Researcher, Summer Intern) - Shanghai, China
- Utilized various specialized tools including Python to improve data-analysis efficiency, saving nearly 50% of processing time without sacrificing data accuracy.
- Collected international flight plans from five most recent years to analyze operating status of individual flights and airports.
- Forecast profit margins of three publicly listed companies by using DCF and DDM models.
- Wrote daily, weekly, and monthly reports summarizing earnings performance for transportation sector and international macro factors including oil prices, tariffs, and foreign policies.
Skills
- Programming Skills: Python(Numpy, Pandas, Seaborn, Scikit-learn, TensorFlow), R, SQL, Tableau, Power BI, Hive, Spark, JAVA.
- Machine Learning: Regressions, Random Forest, SVM, XGBoost, LightGBM, Clustering, NLP, Deep Learning.
- Certification: Alibaba Cloud Certified Professional - Big Data, Microsoft Certified: Data Analyst Associate, etc.., English (business proficient)
