Chenxi Liu

Experience Level

Expert
Expert
Expert
Expert
Expert

Language

English
Fluent

Work Experience

Data Analyst Intern at Innovation AI
June 1, 2025 - August 1, 2025
Integrated location intelligence pipeline via Google Places and Foursquare APIs, increasing market coverage by 30% to support precise demand forecasting. Automated Python scripts for multi-city data extraction (Chicago, Los Angeles, NYC), reducing manual workload by 80% while enhancing data reliability; standardized 1,000+ restaurant records for streamlined analysis. Led exploratory market analysis on pricing tiers and ratings, delivering insights on competitive positioning and regional consumer preferences. Collaborated with executives to establish KPIs and built interactive dashboards, converting analytical findings into strategic recommendations for potential market expansion.
Data Scientist Intern at IDX Exchange
October 1, 2024 - January 1, 2025
Examined 790K property transaction data sets to identify pricing drivers and regional market risks, guiding investment strategy discussions and due diligence processes. Created location-based metrics, property age, and historical trends features to boost model interpretability and facilitate informed evaluations of investment opportunities. Constructed and refined predictive valuation models (Linear Regression, Random Forest, and XGBoost) using cross-validation, improving forecast accuracy by 15% for enhanced risk assessment and valuation. Presented data-driven insights through customized visualizations and reports, bridging statistical results to actionable business outcomes for decision-makers.
Data Analyst Intern at CCB Fintech
June 1, 2023 - September 1, 2023
Researched global consumer credit reporting trends, integrating regulatory updates, product innovations, and risk management practices to identify industry shifts and competitive advantages. Evaluated open datasets and regulatory reports with statistical methods to detect fraud patterns, evaluate credit risk factors, and measure compliance impacts on operations. Benchmarked anti-fraud and regulatory standards to formulate compliance strategies, minimizing exposure and optimizing internal risk management frameworks.

Education

M.S. in Applied Data Science at University of Chicago
September 1, 2024 - December 1, 2025
B.S. in Statistics (High Distinction Honors) & B.S. in Economics at University of Illinois at Urbana-Champaign
September 1, 2020 - May 1, 2024

Qualifications

Add your qualifications or awards here.

Industry Experience

Software & Internet, Financial Services, Professional Services, Real Estate & Construction, Education