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Aspiring Data Scientist

I'm a UC Berkeley sophomore double majoring in physics and data science.

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Work samples

Discover my work in data science, showcasing projects that highlight analytical techniques and problem-solving approaches.

  • Amazon Operational Strategy & People Analytics Externship
    Amazon Operational Strategy & People Analytics Externship
    Amazon logo

    Amazon · ✅ Verified by Extern · ⏱️ In progress

    Amazon Operational Strategy & People Analytics Externship

    Imagine shaping how AMAZON — yes, THE Amazon — welcomes and keeps its workforce. Every year, Amazon loses billions because new hires leave before Day 90. You’re going to fix that. In this externship, you’ll web scrape real-world employee reviews from across the web, extract actionable insights, and design persona-driven strategies to help Learning Ambassadors connect smarter, faster, and more humanely. It’s part research, part strategy—and all about learning how people data drives big decisions.

    Data AnalysisPythonStrategyOperations
  • AI-Powered Nutrition/Hydration Tracker
    AI-Powered Nutrition/Hydration Tracker

    Jun 2026

    AI-Powered Nutrition/Hydration Tracker

    Architected a desktop-native Python application using CustomTkinter to semantically parse free-form natural language inputs into structured, real-time macro-nutrient and hydration tracking data. Engineered a zero-hallucination backend integrating Google Gemini 2.5 Flash with JSON-constrained system

    PythonSQLiteGeminiCustomTkinterSQLAlchemy

About me

I'm a UC Berkeley sophomore double majoring in physics and data science.

I am a sophomore at the University of California, Berkeley, pursuing a Bachelor's Degree in Data Science. Currently, I am gaining experience through an externship in Operational Strategy and People Analytics at Amazon, where I am developing my analytical skills and understanding of data-driven decision-making.

Externships

Amazon Operational Strategy & People Analytics Externship

Amazon

Experience

Artificial Intelligence Trainer & Fellow

Handshake · May 2026 – Present

Music Manager, Media Committee Head & Show Committee Head

UC Berkeley – Noteworthy A Cappella · Sept. 2025 – Present

Robotics Assistant Coach/Mentor

St. John the Baptist Robotics “Blockheads” Program · Sept. 2021 – Dec. 2023

Education

University of California, Berkeley

B.A. Physics & Data Science

Bishop Amat Memorial High School

Top 4 in Graduating Class| RIT Computing Award ($76,000)| CyberPatriot Member

Frontier Technology Institute

Introduction to Quantum Computing (Partnered with Google Quantum AI)

Skills

Data AnalysisStatistical ModelingData VisualizationPythonRSQL
Back to works
Amazon ↗

✅ Verified by Extern · ⏱️ In progress

Amazon Operational Strategy & People Analytics Externship

Imagine shaping how AMAZON — yes, THE Amazon — welcomes and keeps its workforce. Every year, Amazon loses billions because new hires leave before Day 90. You’re going to fix that. In this externship, you’ll web scrape real-world employee reviews from across the web, extract actionable insights, and design persona-driven strategies to help Learning Ambassadors connect smarter, faster, and more humanely. It’s part research, part strategy—and all about learning how people data drives big decisions.

Data AnalysisPythonStrategyOperations

Overview

During my externship with Amazon, I focused on understanding workforce dynamics and operational strategies within Fulfillment Centers. By analyzing employee reviews and attrition patterns, I developed insights and strategies aimed at improving retention. My work contributed to creating a more engaging environment that aligns with Amazon's commitment to employee satisfaction and operational

Amazon Operational Strategy & People Analytics Externship

What I've accomplished

I produced a briefing note that diagnosed drivers of high 90-day attrition from employee feedback and recommended targeted actions including expanding Learning Ambassadors, rotating tasks, and improving facilities.

Project breakdown

The project reviewed employee feedback to define the issue of high 90-day attrition, analyzed recurring causes (support, breaks, lighting, management), and produced a briefing note with background, analysis, and recommendations (expand learning ambassadors, rotate tasks, improve facilities,…

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Jun 2026

AI-Powered Nutrition/Hydration Tracker

Architected a desktop-native Python application using CustomTkinter to semantically parse free-form natural language inputs into structured, real-time macro-nutrient and hydration tracking data. Engineered a zero-hallucination backend integrating Google Gemini 2.5 Flash with JSON-constrained system

PythonSQLiteGeminiCustomTkinterSQLAlchemy

Overview

Architected a desktop-native Python application using CustomTkinter to semantically parse free-form natural language inputs into structured, real-time macro-nutrient and hydration tracking data. Engineered a zero-hallucination backend integrating Google Gemini 2.5 Flash with JSON-constrained system

AI-Powered Nutrition/Hydration Tracker
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Dec 2025

Gaia DR3 Open Stellar Cluster Identifier

Processed a multi-million-record Gaia DR3 dataset of stellar parallax, proper motion, and radial velocity using NumPy and Pandas for high-throughput vectorized transformation and exploratory data analysis. Created a spatial proximity filtering and kinematic trajectory synthesis pipeline using DBSCAN

PythonNumPyMatplotlibDBSCANPandas

Overview

Processed a multi-million-record Gaia DR3 dataset of stellar parallax, proper motion, and radial velocity using NumPy and Pandas for high-throughput vectorized transformation and exploratory data analysis. Created a spatial proximity filtering and kinematic trajectory synthesis pipeline using DBSCAN.

Gaia DR3 Open Stellar Cluster Identifier
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