I turn raw data into insights and prototypes, using Python, SQL, n8n, and visualization to test ideas and learn fast.
Projects include consumer insights from Beats by Dre reviews, AI agent dashboards built with n8n for Wayfair, sports analytics for NY Racing, and sustainability analysis using SQL and RAG pipelines.
Beats By Dre · Dec 2025✅ Verified by ExternA Beats by Dre externship focused on extracting qualitative and quantitative consumer insights from feedback and reviews using Python and AI tools.
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Wayfair · Jun 2026✅ Verified by ExternLearn one of the most in-demand skills shaping the future of work: building AI agents. In this externship, you’ll step into the role of an AI Agent Developer and use n8n to design agents that think, plan, and act on real data — automating insights, decisions, and workflows. No coding experience required. By the end, you’ll create a live dashboard powered by your own AI agents, gaining hands-on experience that applies to any role or industry — from marketing and consulting to product management and data science.
Breaking Games · Aug 2026✅ Verified by ExternTurn six messy CSVs into an analytics database and a Q4 dashboard that drives real business decisions. SQL + Claude.
Building a full-stack application on Next.js App Router, pairing 13 type-safe server actions and 10 API routes with a 76-component TypeScript frontend; built an 18-model PostgreSQL schema (Prisma) to power a job-listing aggregation pipeline across 4 pluggable sources validated by a CI suite of 284 t
I turn raw data into insights and prototypes, using Python, SQL, n8n, and visualization to test ideas and learn fast.
I am Lazaro Valdez, a sophomore Computer Science student at the University of South Florida focused on data analytics. I build data pipelines, dashboards, and AI-enabled tools using Python, SQL, PostgreSQL, pandas, NumPy, and LLM APIs. I completed externships with Beats by Dre, Wayfair, Breaking Games, and NY Racing to practice extracting insights from consumer feedback, designing AI agents, and turning messy CSVs into analytics databases. I am working to grow technical skills and hands-on experience as I complete my degree.
Externships
Beats by Dre Data Analytics: Qualitative & Quantitative Insights Externship
Completed · Dec 2025
Experience
AI Automation Extern
Wayfair · April 2026 – June 2026
Data Engineering Extern
Breaking Games · June 2026 – Aug 2026
Data Analytics Extern
Beats by Dre · Oct 2025 – Dec 2025
Education
University of South Florida
Bachelor of Science in Computer Science, GPA: 3.31/4.00 · Class of 2028
Skills
✅ Verified by Extern
A Beats by Dre externship focused on extracting qualitative and quantitative consumer insights from feedback and reviews using Python and AI tools.
The externship analyzed consumer feedback and review data for wireless audio products, combining AI-assisted text analysis with quantitative cleaning and visualization. Work included pain-point extraction turned into an interactive dashboard, a four-column AIDA customer journey map, statistical analysis of survey segments, sentiment scoring of reviews, and a slide deck plus dashboard presenting
I produced a live interactive dashboard from AI-extracted pain points, a four-column AIDA customer journey map, cleaned and analyzed survey segments with charts and thematic coding, sentiment-scored review data, and a Gamma slide deck plus Claude dashboard with a recorded presentation.
✅ Verified by Extern
Learn one of the most in-demand skills shaping the future of work: building AI agents. In this externship, you’ll step into the role of an AI Agent Developer and use n8n to design agents that think, plan, and act on real data — automating insights, decisions, and workflows. No coding experience required. By the end, you’ll create a live dashboard powered by your own AI agents, gaining hands-on experience that applies to any role or industry — from marketing and consulting to product management and data science.
The work built multiple n8n-based AI agents and integrated them into a market intelligence pipeline, producing visual outputs, automated reports, and a dashboard-ready HTML assembly. Deliverables included moodboard images, downloadable trend and competitor reports, a working content agent, and an integrated dashboard output. The work was awarded Top Performer by Wayfair.
I produced production-ready n8n workflows that generated moodboard images, downloadable trend PDFs, an HTML/PDF competitor report, an improved content agent I re-engineered, and an integrated dashboard-ready HTML output.
✅ Verified by Extern
Turn six messy CSVs into an analytics database and a Q4 dashboard that drives real business decisions. SQL + Claude.
The work consolidated six raw Shopify and ad-related tables into a cleaned analytics schema and a static Q4 dashboard. Deliverables included a dim_product/daily fact schema, query-ready tables, five executive metrics implemented as SQL, and a Holiday Game Plan. The work was awarded Top Performer by Breaking Games.
I mapped 421 referrer strings into a channel taxonomy, connected $37,200 in Meta ad spend to $61,000 in attributable sales, produced a Q4 ad allocation plan across live campaigns, and built a dim_product/daily fact schema with query-ready tables.
Building a full-stack application on Next.js App Router, pairing 13 type-safe server actions and 10 API routes with a 76-component TypeScript frontend; built an 18-model PostgreSQL schema (Prisma) to power a job-listing aggregation pipeline across 4 pluggable sources validated by a CI suite of 284 t