Summary
Overview
Work History
Education
Skills
Websites
Projects
Personal Information
Timeline
Generic

Xuchen(Frank) Wang

Chicago,IL

Summary

Applied Data Scientist and Visual Analytics Engineer with 5+ years of enterprise software engineering experience and hands-on ownership of data pipelines, ML models, and analytics dashboards. Currently building production-ready visual decision-support systems at the Electronic Visualization Laboratory (EVL). Strong at translating complex data into actionable insights by combining data engineering, machine learning, and human-centered visualization.

Overview

7
7
years of professional experience

Work History

Research Assistant

Electronic Visualization Laboratory
Chicago, USA
10.2024 - Current
  • Designed and delivered interactive visual analytics dashboards supporting clinical decision-making, focused on patient discharge readiness and care-stage comprehension.
  • Built a decision-support system that extracts and visualizes risk signals from unstructured clinical notes, enabling faster comparison across care phases.
  • Collaborated with clinicians to iteratively refine workflows and visual encodings, improving interpretability and trust in high-stakes healthcare settings.
  • Applied human-in-the-loop AI evaluation to ensure reliability, usability, and deployment readiness.
  • University of Illinois at Chicago

Software Engineer

Tata Consultancy Services
10.2018 - 11.2023
  • Engineered backend services for enterprise data platforms using Python and Java, supporting 5k+ daily requests and mission-critical batch processing workflows.
  • Developed RESTful APIs with Spring Boot, improving system reliability by 30% while integrating with complex customer data systems.
  • Optimized SQL-based ETL pipelines, reducing average job runtimes by 30% while maintaining 95%+ data accuracy across cross-functional reports.
  • Designed and deployed automated data quality frameworks, eliminating 90% of recurring validation failures through schema enforcement and dynamic rule-based checks.
  • Built internal monitoring dashboards using SQL, Power BI, and Angular to visualize system health, transaction volumes, and data quality metrics for stakeholders.

Education

Master of Science - Computer Science

University of Illinois at Chicago
05.2026

Bachelor of Science - Math and Computer Science

University of Illinois At Chicago
01.2018

Skills

  • Visual analytics
  • D3js
  • JavaScript
  • Power BI/ Tableau
  • Matplotlib
  • Interactive dashboard design
  • Python
  • SQL
  • Rest APIs
  • Git
  • Agile
  • Scrum
  • Machine learning
  • Shap
  • LLM-assisted analytics

Projects

AI-Enabled All-Health Team Data Fabric (Clinical Visual Analytics)

University of Illinois Chicago · Oct 2025 – Present

  • Built a visual decision-support system that helps clinicians assess patient discharge readiness by surfacing risks from unstructured clinical notes.
  • Designed interactive visualizations to support rapid comparison across care phases, highlighting gaps in social support and follow-up planning.
  • Developed through iterative feedback with clinical experts, aligning system design with real hospital workflows.

Ethereum Blockchain Transaction Analysis (Visual Analytics & ML)

University of Illinois Chicago · Aug 2024 – Dec 2024

  • Analyzed Ethereum transactions to detect gas-fee anomalies and behavior patterns using clustering and anomaly detection.
  • Built an interactive dashboard for exploring trends by gas fees, block numbers, and transaction types.

Predicting Student Stress Levels Using Classification Models (Explainable AI)

University of Illinois Chicago · Aug 2024 – Dec 2024

  • Trained and evaluated Logistic Regression, SVM, Random Forest, and XGBoost models on psychological and academic datasets.
  • Applied SHAP to interpret model outputs, identifying anxiety and self-esteem as key stress predictors.

Dragon Boat Rhythm (AI Game & Interactive Systems)

University of Illinois Chicago · Jan 2025 – May 2025

  • Developed a rhythm-based racing game featuring AI-controlled opponents navigating a dynamic environment.
  • Implemented A pathfinding and FSM-based AI behaviors* for real-time decision-making and adaptive gameplay.

Personal Information

Title: Applied Data Scientist | Visual Analytics Engineer

Timeline

Research Assistant

Electronic Visualization Laboratory
10.2024 - Current

Software Engineer

Tata Consultancy Services
10.2018 - 11.2023

Master of Science - Computer Science

University of Illinois at Chicago

Bachelor of Science - Math and Computer Science

University of Illinois At Chicago
Xuchen(Frank) Wang