<Aspiring_Data_Analyst>

/* I’m on a journey to sharpen my analytical skills and make an impact in the data-driven world. Let's connect! */

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Breaking Games Externship via Extern

<Work_samples>

I’ve worked on impactful projects at Amazon and Beats By Dre, focusing on data analytics and consumer insights that guide strategic business decisions.

Amazon Operational Strategy & People Analytics Externship
[01]Amazon ExternshipMay 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 AnalysisPythonAI & MLStrategyOperations
Beats by Dre Data Analytics: Qualitative & Quantitative Insights Externship
[02]Beats By Dre ExternshipAug 2026
✅ Verified by Extern
Beats by Dre Data Analytics: Qualitative & Quantitative Insights Externship
A data analytics externship with Beats By Dre focused on extracting qualitative and quantitative consumer insights from reviews, surveys, and conversational data.
Data AnalysisPython
Healthcare Billing Amount Prediction and Time Series Forecasting
[03]Freelance Project
Healthcare Billing Amount Prediction and Time Series Forecasting
Healthcare Cost Estimator: Built a Python-based machine learning pipeline that predicts insurance premiums with high accuracy using demographic data.
Python
Employee Attrition Prediction using XGBoost
[04]Freelance Project
Employee Attrition Prediction using XGBoost
Developed a predictive model to identify key drivers of employee turnover using a dataset of 15,000+ records, achieving high accuracy in classifying at-risk employees.
XGBoost
TikTok Video Engagement Analysis: Understanding Virality and Moderation Factors
[05]Freelance Project
TikTok Video Engagement Analysis: Understanding Virality and Moderation Factors
Engineered features from video engagement metrics (likes, shares, views) and text data, identifying that claim-based videos typically receive significantly higher engagement than opinion-based content.
SQL & Database Architecture Externship with Breaking Games
[06]Breaking Games Externship⏱️ In progress
✅ Verified by Extern
SQL & Database Architecture Externship with Breaking Games
Turn six messy CSVs into an analytics database and a Q4 dashboard that drives real business decisions. SQL + Claude.
Analytics Database DesignData AnalysisSQL FundamentalsData Storytelling

<About_me>

I’m on a journey to sharpen my analytical skills and make an impact in the data-driven world. Let's connect!

I am an aspiring data analyst with a Master's degree and a passion for understanding consumer behavior through data. Currently, I'm enhancing my skills through externships at leading companies like Beats By Dre and Amazon, where I focus on applying data analytics to real-world challenges.

Externships

SQL & Database Architecture Externship with Breaking Games

In progress

Experience

Test Technician

The Larson Group · Mar 2026 - Present

Extern, Beats by Dre

Beats by Dre · Jun 2026 - Aug 2026

Extern, Amazon Fulfillment Center

Amazon Fulfillment Center · Mar 2026 - Jun 2026

Assembler

Imperial Fabricating · Apr 2013 - Dec 2025

Remote Data Scientist

Natalya Oreste, Real Estate Broker Licensed in the State of Oregon · Oct 2025 - Nov 2025

Education

Triple Ten

Data Scientist Bootcamp Certification

South University

Bachelor of Science, Information Technology · Class of 2023

South University

Master of Science, Information Systems · Class of 2024

South University

Master of Business Administration · Class of 2025

Skills

Data AnalyticsWeb ScrapingPythonSentiment AnalysisMarket Research

Back_to_work

Amazon · May 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 AnalysisPythonAI & MLStrategyOperations

/Overview

The externship analyzed frontline feedback and operational roles at fulfillment centers, producing structured datasets and analytic artifacts for people-analytics work. Deliverables included a role-by-role workforce map CSV, a cleaned CSV of Glassdoor and YouTube feedback, sentiment and keyword analyses, a runnable theme-tagging notebook, segmented workforce records, and a five-slide pilot brief

Amazon Operational Strategy & People Analytics Externship

Google Slides

Access

//What I've accomplished

I produced a suite of deliverables: a role-level workforce map, a cleaned CSV of Glassdoor and YouTube feedback, sentiment and keyword analyses, a Colab notebook for theme tagging, labeled workforce segments, and a five-slide pilot brief proposing a 48-hour minimum-notice test.

///Project breakdown

View_all_work

Back_to_work

Beats By Dre · Aug 2026 ↗

✅ Verified by Extern

<Beats_by_Dre_Data_Analytics:_Qualitative_&_Quantitative_Insights_Externship>

A data analytics externship with Beats By Dre focused on extracting qualitative and quantitative consumer insights from reviews, surveys, and conversational data.

Data AnalysisPython

/Overview

The work produced analytic deliverables from product reviews and a 5,112-response survey for audio hardware. Deliverables included an AI-assisted pain-point summary for flagship headphones, an AIDA customer-journey map for a spatial-computing headset, cleaned and analyzed survey data with coded open-response themes, linked Google Sheets with tables and charts, and a Brand Comparison Report.

Beats by Dre Data Analytics: Qualitative & Quantitative Insights Externship

Google Slides

Access

//What I've accomplished

I identified principal pain points in flagship headphone reviews, mapped an AIDA customer journey for a spatial-computing headset, delivered cleaned survey analyses with coded open-response themes and linked Google Sheets, and authored a Brand Comparison Report from 5,112 survey responses.

///Project breakdown

View_all_work

Back_to_work

<Healthcare_Billing_Amount_Prediction_and_Time_Series_Forecasting>

Healthcare Cost Estimator: Built a Python-based machine learning pipeline that predicts insurance premiums with high accuracy using demographic data.

Python

View_all_work

Back_to_work

<Employee_Attrition_Prediction_using_XGBoost>

Developed a predictive model to identify key drivers of employee turnover using a dataset of 15,000+ records, achieving high accuracy in classifying at-risk employees.

XGBoost

View_all_work

Back_to_work

<TikTok_Video_Engagement_Analysis:_Understanding_Virality_and_Moderation_Factors>

Engineered features from video engagement metrics (likes, shares, views) and text data, identifying that claim-based videos typically receive significantly higher engagement than opinion-based content.

View_all_work

Back_to_work

Breaking Games ↗

✅ Verified by Extern · ⏱️ In progress

<SQL_&_Database_Architecture_Externship_with_Breaking_Games>

Turn six messy CSVs into an analytics database and a Q4 dashboard that drives real business decisions. SQL + Claude.

Analytics Database DesignData AnalysisSQL FundamentalsData Storytelling

/Overview

The externship consolidated six messy CSV data sources into a structured analytics database and produced a Q4 dashboard. The work mapped data fields, resolved schema inconsistencies, and defined relational tables and keys. Deliverables included an ETL plan, a normalized database schema, and a dashboard prototype.

SQL & Database Architecture Externship with Breaking Games

//What I've accomplished

I inventoried six data sources, executed SQL against the supplied SQLite dataset, and produced five immediate answers (top products by units and revenue, product count, total Meta ad spend, and unique checkouts) with queries and results.

///Project breakdown

During Week 1 I inventoried six data sources, ran SQL queries against the SQLite dataset, and pasted five instant answers (top products by units and revenue, product count, total Meta ad spend, unique checkouts).

Google Docs

Access

View_all_work

<Work_samples>

Amazon Operational Strategy & People Analytics Externship

Beats by Dre Data Analytics: Qualitative & Quantitative Insights Externship

Healthcare Billing Amount Prediction and Time Series Forecasting

Employee Attrition Prediction using XGBoost

TikTok Video Engagement Analysis: Understanding Virality and Moderation Factors

SQL & Database Architecture Externship with Breaking Games

<About_me>

<Amazon_Operational_Strategy_&_People_Analytics_Externship>

/Overview

//What I've accomplished

///Project breakdown

Understand the Operational ChallengeI mapped the workforce structure at an Amazon Fulfillment Center and documented roles, responsibilities, and common tools.

Collect & Clean Employee Voice DataI collected and cleaned employee voice data from Glassdoor and YouTube, then prepared a structured dataset for analysis.

Find Sentiment & Keyword Patterns in Employee Voice DataI cleaned, scored, visualized, and compared employee feedback from Glassdoor and YouTube to surface keyword and sentiment patterns.

Uncover Themes & Root Causes in Employee Voice DataI built a keyword-based theme tagging pipeline in Python and shared the working Colab notebook.

Segment the Workforce & Identify PrioritiesI built labeled employee segments from cleaned review data and exported the segment spreadsheet for analysis.

<Beats_by_Dre_Data_Analytics:_Qualitative_&_Quantitative_Insights_Externship>

/Overview

//What I've accomplished

///Project breakdown

Create a Pain Point ChartI produced an AI-driven pain-point analysis for flagship over-ear headphones and summarized key findings from a cross-source review synthesis.

Map the Customer JourneyI built a Customer Journey Map for a high-end spatial computing headset, mapping AIDA stages, customer actions, thoughts and touchpoints.

Analyze Consumer InsightsI analyzed survey responses on wireless speakers, producing quantitative summaries, thematic coding, and visualizations across the dataset.

Conduct Sentiment AnalysisI produced a brand-comparison market research report analyzing survey data on wireless speaker owners and competitor positioning.

<Healthcare_Billing_Amount_Prediction_and_Time_Series_Forecasting>

<Employee_Attrition_Prediction_using_XGBoost>

<TikTok_Video_Engagement_Analysis:_Understanding_Virality_and_Moderation_Factors>

<SQL_&_Database_Architecture_Externship_with_Breaking_Games>

/Overview

//What I've accomplished

///Project breakdown

Getting Into Breaking Games' Raw DataI compiled a running Holiday Game Plan document to record week-by-week analysis and SQL answers during the Breaking Games externship.