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Student @ Duke University
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Assessing your cultural and operational fit
UR5e_pick_and_place
April 20, 2026 – Present
Includes code and documentation for setting up the UR5e arm, hand-eye calibration, marker detection, and inverse kinematics.
View Projectiot_intruder_detection
November 2, 2025 – December 5, 2025
iot_intruder_detection — GitHub repository
View ProjectDEV_2025
March 2, 2025 – April 4, 2025
Firmware for Duke Electric Vehicles 2025 shell eco marathon
View ProjectMouse_Brain_fMRI_Analysis
January 22, 2024 – August 3, 2024
Mouse_Brain_fMRI_Analysis — GitHub repository
View ProjectEyeStudy
June 10, 2021 – August 10, 2024
This is my coding project for an ML-powered iPhone app that helps blind people access internet resources and read with hand rotations, braille features, and vibrations
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and demonstrate a strong inclination towards robotics, embedded systems, and some machine learning/data analysis. While there's a project directly related to fMRI analysis, the overall portfolio leans heavily towards hardware interaction and low-level programming (C++, firmware). This might indicate a stronger fit for roles in robotics or embedded ML rather than a pure Data Scientist role focused on large-scale data processing, statistical modeling, or business intelligence. The diversity of project types is good, but the alignment with a typical 'Data Scientist' role is moderate.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are concise, but there is no information on teamwork, problem-solving approaches, or communication style in a collaborative environment.