Jiaqi Li Email & Phone Number

Pittsburgh, Pa, Us

Beijing, China

1 Developed the credit product recommendation model using reinforcement learning techniques such as MAB (Multi-Armed Bandit), resulting in an increase of 61.2k Daily Active Users and a 0.19% improvement in click-through rate.2 Designed and implemented A/B testing for customized user marketing strategies, boosting monthly GMV by $296.8k and enhancing transaction ROI by 5.9%; constructed real-time dashboards with Tableau and SQL to monitor strategy iterations.3 Collaborated with cross-functional departments and leveraged Google Suite to produce ad-hoc reports for stakeholders.

Shanghai, China

1 Formulated A/B testing through multivariate analysis to establish and launch the ride-hailing pricing decision model; analyzed results with statistical inference methods such as DID, ultimately leading to a 2.4% increase in monthly orders.2 Automated data tasks using ETL process and employed SQL and Tableau for ongoing price adjustments across multiple products; visualized and resolved data anomalies with Excel’s VLOOKUP, Pivot Table and Slicer functions.

Pittsburgh, Pennsylvania, United States

1 Cleaned data and performed feature engineering; addressing sample imbalance issues and acquired over 10k data entries.2 Applied machine learning models such as GB, DT, LSTM on smartwatch sensor data for human activity recognition; tuned model and evaluated model performance to predict ADHD risk in adolescents and achieved a 2.1% increase in accuracy.3 Utilized R for data visualization, presenting activity trends and prediction results to over 10 users.

Beijing, China

1 Integrated commercial data from multiple sources and used tools such as SQL, Tableau and Google Analytics for analysis and visualization, assessing and optimizing advertising campaigns for various brands and enhanced CRM effectiveness.2 Collaborated with multiple departments to optimize the data annotation system, improving annotation accuracy by 1.76%.

Beijing, China

1 Preprocessing Data: Cleaned the data (20,000+ responses), handled invalid and missing values; used reliability analysis to verify data accuracy, adjusted question skip logic and increased reliability by 10%; conducted descriptive analysis with SPSS.2 Analyzing Data: Used tools such as VLOOKUP and pivot tables to split the datasets by different features and variables to gain insights into customers' demands and profiles for different types of customers and channels; created visualizations such as heatmap and stacked histogram with SPSS; analyzed user satisfaction using the Kano model.

Beijing, China

China

Master'S Degree, Data Analytics

Activities and Societies: Member of Chinese Student and Scholars Association, Consulting Club.Courses: 95885 Data Science and Big Data.

Bachelor'S Degree, Financial Management

Activities and Societies: College Badminton Team(Competed in inter-college tournaments), College Debate Team, University Student Arts.

Summer School, Pku-Uchicago International Policy Action Lab, 95/100