Currently an Extern @Amazon

Business student focused on people data and operational strategy

Sophomore at the University of Michigan building resume-ready skills in analytics, research, and strategy through hands-on externship work.

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Work samples

Portfolio includes an Amazon operational strategy and people analytics externship where I collected real-world reviews, extracted insights, and proposed persona-driven ways to improve new-hire

Amazon Operational Strategy & People Analytics Externship
Amazon · Aug 2026 · ✅ Verified by Extern
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

About me

Sophomore at the University of Michigan building resume-ready skills in analytics, research, and strategy through hands-on externship work.

I am a sophomore at the University of Michigan studying Business Administration and Management. I have some practical experience and I am pursuing opportunities that strengthen my resume and make me more competitive for internships and early-career roles. I completed an Amazon externship focused on operational strategy and people analytics, where I worked with employee review data and designed persona-driven retention ideas.

Externships

Amazon Operational Strategy & People Analytics Externship

Amazon

Experience

Project Manager

APEX CONSULTING · 2025-Present

Non-Profit Consulting Intern

PWC · 2026

Product Management Intern

OUTGOING · 2025-2026

Strategy Consulting Intern

CITY AND COUNTY OF SAN FRANCISCO · 2025

Education

UNIVERSITY OF MICHIGAN

Bachelor of Business Administration · Class of 2029

Skills

Web scrapingEmployee review analysisPeople analyticsOperational strategyPersona-driven designResearch and synthesis

Back to works

Amazon · Aug 2026 ↗

✅ Verified by Extern

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

The work combined workforce mapping with large-scale ingestion, cleaning, and analysis of Glassdoor reviews and YouTube transcripts. Deliverables included a spreadsheet mapping roles and handoffs, an analysis-ready Glassdoor CSV, a structured YouTube-transcript spreadsheet, a merged dataset with sentiment and themes, keyword-frequency visualizations, and a ranked priority list that identified

Amazon Operational Strategy & People Analytics Externship

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What I've accomplished

I delivered a workforce interaction spreadsheet, an analysis-ready Glassdoor CSV, a structured YouTube-transcript spreadsheet, a merged dataset with sentiment and themes, keyword-frequency visualizations, a ranked priority list, and a 5-slide pilot deck proposing a peer floor coach intervention.

Project breakdown

View all works

Work samples

Amazon Operational Strategy & People Analytics Externship

About me

Amazon Operational Strategy & People Analytics Externship

Overview

What I've accomplished

Project breakdown

Welcome to the FloorI mapped the workforce structure at an Amazon fulfillment center and argued why Learning Ambassadors are the central point for onboarding and retention.

Collect & Clean Employee Voice DataI cleaned and structured employee feedback data using Python and Pandas, producing an analysis-ready Glassdoor dataset and exportable CSVs.

Find Sentiment & Keyword Patterns in Employee Voice DataI cleaned and merged employee review and transcript text, scored sentiment, and compared keyword and sentiment patterns across Glassdoor and YouTube.

Uncover Themes & Root Causes in Employee Voice DataI built a root-cause analysis that traced employee burnout from sentiment data back to systemic operational drivers.

Segment the Workforce & Identify PrioritiesI segmented employee feedback, scored cohorts by impact and severity, and recommended which groups to prioritize for intervention.