Andrew Ji New Era Scientist
UNST 3910 · Self & Organizations

Required Course Materials

Final course deliverables for UNST 3910, gathered in one place: professional resume, proficiency tracker, two reflective interviews, and a final reflection.

Document · 01

Resume — 2026

Professional resume covering education at UVA McIntire, internships at Venture Central, China Securities, and Deloitte, ongoing research in physics-aware causal deep learning, and applied AI projects across pricing analytics and ESG attribution.

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Document · 02

Proficiency Tracker

Final course assignment mapping each UNST 3910 proficiency — engagement, seminar creation, reflection, and disposition development — to specific evidence from the internship and coursework, with linked artifacts for each.

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Reflection · 03

First Interview — Finance, Models & AI in Industry

A reflective discussion on the real-world purpose of financial models — whether DCF and valuation tools serve as predictive instruments or consensus-building devices — and how AI is reshaping junior roles in finance and consulting.

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Reflection · 04

Second Interview — Ground Truth in AI Systems

A conversation on how training data is labeled in real products like HireVue — what counts as "ground truth," how that choice can encode bias, and why long-term expertise depends on judgment more than tool fluency.

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Reflection · 05

Final Reflection

A closing reflection on the semester — synthesizing what I learned through the internship experience, the conversations I had, and how this course shaped my thinking about career, identity, and what I want to build next.

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