Feiyang Han

Incoming Tax Compliance Intern at Vanguard

Philadelphia, Pennsylvania, United States
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Summary

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Rockstar
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Top School
Feiyang Han is a finance-focused behavioral scientist in training, pursuing an MS in Behavioral and Decision Sciences at UPenn after earning a BS in Finance & Economics from Northeastern. With four years of hands-on experience across tax compliance, private equity accounting, and behavioral strategy—at Fusion Group, Advent International, Vanguard, and soon S&P Global—he blends technical tax skills (K-1/K-3, book-to-tax reconciliations, CCH Axcess) with quantitative thinking. Feiyang applies behavioral insights to make complex financial trade-offs more transparent, having worked on scenario modeling for client decision support at Vanguard. He has a practical record of resolving tax discrepancies with Big Four teams and translating portfolio-level effects into actionable planning recommendations. Based in Philadelphia and active as an AI researcher on GitHub, he aims to merge data-driven finance, behavioral design, and consulting to help organizations improve decisions and drive sustainable growth.
code4 years of coding experience
bookBachelor of Science - BS, Finance & Economics, Bachelor of Science - BS, Finance & Economics at Northeastern University
bookMaster of Science - MS, Behavioral and Decision Science, Master of Science - MS, Behavioral and Decision Science at University of Pennsylvania
languagesChinese, hokkien, English
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Github Skills (14)

segmentation8
medical-imaging7
image-segmentation7
pytorch6
firebase6
firestore5
firebase-functions5
deep-learning5
keras5
crashlytics5
firebase-storage4
neural-network3
firebase-database3
tensorflow3

Programming languages (6)

TypeScriptJavaScriptHTMLJupyter NotebookMATLABPython

Github contributions (5)

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hanfeijiang/CS-Sources

Mar 2022 - Nov 2022

Contributions:161 pushes, 1 branch in 8 months
FeijiangHan/CTISPED

Sep 2022 - Dec 2023

UNet series network architectures (UNet, R2UNet, Attention UNet, Nested UNet, Tiny UNet etc.), combined with joint training of YOLO and other networks
Contributions:13 PRs, 31 pushes, 9 branches in 1 year 3 months
deep-learningimage-segmentationmedical-imagingpytorchsegmentation
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