IATA Sustainability Datathon (IE University)
Applied SARIMA forecasting & Bass diffusion modeling to EU-27 aviation emissions data (2016 62050); scenario analysis (BAU vs. policy).
Currently an Extern @Amazon·🟢 Open to work
Emerging Professional in Operational Strategy
I’m an ambitious professional exploring new career paths, leveraging my externship experience at Amazon.
Work samples
Explore my projects focused on operational strategy and analytics, showcasing my skills and insights gained during my externship.
IATA Sustainability Datathon (IE University) Capstone Project 6 Predictive CLV Model (Decathlon Spain) Capstone Project 6 Predictive CLV Model (Decathlon Spain)
As Data Engineer, cleaned and integrated multi-source customer data on Azure Databricks (PySpark), building the unified customer feature table that powered Gradient Boosted Trees CLV modeling for 217K+ customers.
Azure DatabricksPySpark
About me
I’m an ambitious professional exploring new career paths, leveraging my externship experience at Amazon.
I am in the early stages of my career, currently exploring new avenues and opportunities. My recent externship at Amazon in Operational Strategy and People Analytics has sharpened my analytical skills and provided me with valuable insights into organizational dynamics.
Externships
Amazon Operational Strategy & People Analytics Externship
Amazon
Experience
Management Intern - Operations & Strategy
MARKA LEODEO S.A. DE C.V. (Hospitality & Restaurant Services) · OCTOBER 2024 - APRIL 2025
Administrative Assistant
CAMPETELLA ROBOTIC CENTER SRL. (Industrial Automation) · OCTOBER 2021 - APRIL 2022
HR & Payroll Operations Intern
AUTO PARTES Y MAS SA DE CV (Automotive Parts) · MAY 2022 6 DEC. 2022
Education
IE SCHOOL FOR SCIENCE AND TECHNOLOGY
Master in Business Analytics & Data Science (Generative AI); Expert Diploma in AI & Data Technologies (Retail & E-commer · Class of 2026
UNIVERSIDAD AUTONOMA DE GUADALAJARA
Bachelor's degree in Business Administration · Class of 2023
Skills
Operational StrategyPeople AnalyticsData AnalysisProblem SolvingCritical Thinking
IATA Sustainability Datathon (IE University)
Applied SARIMA forecasting & Bass diffusion modeling to EU-27 aviation emissions data (2016 62050); scenario analysis (BAU vs. policy).
Capstone Project 6 Predictive CLV Model (Decathlon Spain)
As Data Engineer, cleaned and integrated multi-source customer data on Azure Databricks (PySpark), building the unified customer feature table that powered Gradient Boosted Trees CLV modeling for 217K+ customers.
Azure DatabricksPySpark
Venture Lab (IE University) 6 Attiria
Co-developed Attiria, a fashion AI platform using Computer Vision, Generative AI & Recommendation Systems; prototyped UI in Figma with SQL data pipelines.
Computer VisionGenerative AIRecommendation SystemsFigmaSQL
✅ 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
In this externship with Amazon, I focused on enhancing workforce retention strategies by analyzing employee reviews and operational structures within Fulfillment Centers. I identified patterns in attrition and developed persona-driven strategies to help Learning Ambassadors foster a more supportive onboarding experience, ultimately aiming to reduce turnover before Day 90.
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What I've accomplished
I produced a CSV-style role roster that listed responsibilities, key collaborators, common tools, and notes for frontline and support roles, resolving ambiguity in the org charts.
Project breakdown
Faced with unclear org charts, I built a role-by-role workforce map listing responsibilities, key collaborators, common tools, and notes. The deliverable produced a clear CSV-style roster of frontline and support roles and their operational interfaces.
Google Sheets
AccessThe project collected Glassdoor reviews and YouTube transcripts, cleaned and deduplicated records with Python and Pandas, removed irrelevant columns and non-English entries, and produced finalized CSV and spreadsheet files ready for analysis (122 Glassdoor reviews).
Google Drive
AccessThe project combined cleaned Glassdoor and YouTube text, extracted top keywords, and ran sentence-level sentiment. I compared themes (pay, breaks, long shifts, management), reported sentiment proportions, and produced a comparison table and summary of differences in tone.
Google Docs
AccessSituation: a 129-review dataset needed theme tags. Task: automate keyword-based tagging. Action: I built and ran a Python script to tag each review by theme. Result: the script processed all reviews and produced tagged output for downstream analysis.
I segmented worker feedback by role and employment status, scored each cohort on impact, severity, and size, and recommended priority segments. The deliverable listed segment scores and a written rationale highlighting top groups and why they mattered.
Google Sheets
Access