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Graduate student in Applied Mathematics, focused on data analytics

I build analytical models and extract insights from real data to solve people and operational problems while I develop technical skills.

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Work samples

Portfolio items include data-driven projects and an Amazon externship where I scraped employee reviews, analyzed people data, and developed persona-driven retention strategies.

  • 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.

    OperationsStrategyAI & MLData AnalysisPythonPresentation Skills

About me

I build analytical models and extract insights from real data to solve people and operational problems while I develop technical skills.

I am a graduate student in Applied Mathematics at Western Michigan University focused on data analytics. I have limited formal work experience and am building technical and professional skills through coursework and project-based externships, including a people-analytics externship with Amazon.

Externships

Amazon Operational Strategy & People Analytics Externship

In progress

Skills

Web scrapingData cleaningExploratory data analysisStatistical modelingData visualizationPythonPandasDescriptive analytics
Back to work
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.

OperationsStrategyAI & MLData AnalysisPythonPresentation Skills

Overview

The work examined how fulfillment center operations relate to new-hire experiences and early retention. It combined web-scraped employee reviews with qualitative analysis and produced persona-driven insight summaries. Deliverables included a structured, CSV-style workforce roster and recommended early-tenure touchpoints.

Amazon Operational Strategy & People Analytics Externship

What I've accomplished

I produced a structured, CSV-style workforce roster that listed each fulfillment-center role, primary responsibilities, close collaborators, common tools and systems, and annotating notes.

Project breakdown

The project compiled a role-by-role workforce map for a fulfillment center, listing each role, main responsibilities, who they work closely with, common tools/systems, and notes. The deliverable produced a structured CSV-style roster of frontline and support roles.

Google Sheets
Access

I gathered Glassdoor reviews and YouTube transcripts, cleaned and standardized fields with Python/Pandas, annotated strong versus weak voice examples, and exported analysis-ready CSVs and spreadsheets showing cleaned reviews and structured video transcripts.

Google Sheets
Access

The project combined cleaned Glassdoor and YouTube feedback, tokenized keywords, computed sentiment scores, and produced charts and word clouds. It found Glassdoor showed more structured themes (pay, benefits), while YouTube was more reactive with complaints about long hours.

Google Docs
Access
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