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Early-career professional building practical experience

I am exploring roles and projects that grow my skills, turning early work experience into clear direction and capability.

Work samples

A collection of early projects and tasks that demonstrate skills I have started to develop and the kinds of problems I like to work on.

  • Gender & Racial Representation in Media, Research on Visualization of Representative Data in Film and Television
    Gender & Racial Representation in Media, Research on Visualization of Representative Data in Film and Television

    Cleaned and organized film and television award-nomination data from 1980 to 2020 using Python, pandas, and Altair. Analyzed representation trends by decade, gender, ethnicity, and other dimensions to identify patterns in award recognition. Developed interactive Tableau and Altair visualizations, including heatmaps, stacked bar charts, and trend charts, to show changes in representation over time. Designed and conducted think-aloud usability tests to evaluate visualization clarity and interaction; incorporated user feedback to refine color schemes, legends, and explanatory content.

    PythonpandasAltairTableau
  • AR Face Filters in Online Interviews: Data Collection and Performance-Scoring Tools
    AR Face Filters in Online Interviews: Data Collection and Performance-Scoring Tools

    Reviewed literature on augmented reality (AR) face filters, professional self-presentation, and interview performance evaluation to inform the research design. Coordinated participant recruitment, interview scheduling, and online experimental sessions, helping standardize research procedures and data-recording practices. Co-designed and validated an AI-assisted interview scoring tool, enabling scalable transcript-based scoring and preliminary data analysis.

About me

I am exploring roles and projects that grow my skills, turning early work experience into clear direction and capability.

I am Siheng Li. I have some work experience but consider myself early in my career, exploring opportunities and building practical skills while defining my direction.

Externships

TruBridge Healthcare Data Analytics Externship

In progress

Experience

HMI Interaction Designer Intern

Voyah Automotive Technology Co., Ltd · Jun. 2025 - Aug. 2025

Coach & Member

Martial Arts Club · Sept..2022 - Dec.2024

Education

University of Washington (UW)

Bachelor of Science in Human Centered Design and Engineering (HCDE) · Class of 2026

Skills

Early-career experienceLearning on the jobProject varietySkill development focus

Gender & Racial Representation in Media, Research on Visualization of Representative Data in Film and Television

Cleaned and organized film and television award-nomination data from 1980 to 2020 using Python, pandas, and Altair. Analyzed representation trends by decade, gender, ethnicity, and other dimensions to identify patterns in award recognition. Developed interactive Tableau and Altair visualizations, including heatmaps, stacked bar charts, and trend charts, to show changes in representation over time. Designed and conducted think-aloud usability tests to evaluate visualization clarity and interaction; incorporated user feedback to refine color schemes, legends, and explanatory content.

PythonpandasAltairTableau
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AR Face Filters in Online Interviews: Data Collection and Performance-Scoring Tools

Reviewed literature on augmented reality (AR) face filters, professional self-presentation, and interview performance evaluation to inform the research design. Coordinated participant recruitment, interview scheduling, and online experimental sessions, helping standardize research procedures and data-recording practices. Co-designed and validated an AI-assisted interview scoring tool, enabling scalable transcript-based scoring and preliminary data analysis.

View all work

Emerging Minds: Consciousness in Humans, Animals, and AI

Examined literature in cognitive science, consciousness studies, and artificial intelligence to compare consciousness, intelligence, and self-awareness across humans, animals, and AI systems. Facilitated group discussions on machine consciousness, artificial general intelligence (AGI), superintelligence, and their social implications. Authored a 1,500-word integrative reflection paper synthesizing key insights.

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HCDE (Human Centered Design & Engineering) K-12 Outreach DRG

Contributed to curriculum design and instructional material development for human-centered design workshops serving K–12 students in the Seattle area. Co-organized three K-2 workshops and one on-campus University of Washington HCDE workshop, guiding students through user-needs analysis, scenario building, and interaction-design activities. Managed materials and provided on-site facilitation.

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✅ Verified by Extern · ⏱️ In progress

TruBridge Healthcare Data Analytics Externship

A healthcare data analytics externship focused on analyzing public health datasets, building dashboards, and applying statistical methods to identify patterns in infection and outcome data.

Data AnalysisData VisualizationData Storytelling

Overview

The work analyzed large public healthcare datasets to identify patterns in infection and outcome metrics. The project established analytical scope, prepared datasets for downstream modeling, and produced interactive dashboards and statistical summaries that surfaced temporal and correlational trends in the data.

 TruBridge Healthcare Data Analytics Externship

What I've accomplished

I selected the County Health Rankings 2025 county-level dataset after screening alternative sources, applied a six-criterion fitness checklist, and committed to using county income, education, and diabetes measures following missingness and field checks.

Project breakdown

I selected the County Health Rankings 2025 national county dataset after screening CDC PLACES and other sources, applied a six-criterion fitness checklist, and committed to using county-level income, education, and diabetes measures pending final missingness and field checks.

I examined the 2025 County Health Rankings analytic file, verified its structure (3,204 rows, 796 columns), documented provenance and preprocessing needs, and identified median household income and diabetes prevalence as analyzable variables for my research question.

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