Xavier Angeles

Economics graduate and marketplace co-founder with hands-on experience across analytics, operations and strategy in early-stage businesses. Built a second-hand fashion marketplace from zero to 2,800 active sellers and unit economic breakeven, owning growth and the full P&L. Researched a school's 52% enrolment decline and presented a board-approved plan to reverse it.

Uses Claude and other AI tools daily to work faster and build better processes and internal systems. Comfortable structuring loosely defined problems and driving them through to completion.

Co-Founder and Growth Lead at Sweatsy (2023-06 – Present)

Second-hand fashion marketplace connecting buyers and sellers across Peru

• Built the marketplace from zero to 2,800 active sellers, 6,400 followers and 60 transactions a month, reaching unit economic breakeven while leading a team of 3.
• Built GA4 analytics from zero, then used AI tools to redesign checkout and lift conversion 4x.
• Caught a transaction duplication error and rebuilt the validation logic so it could not recur.
• Ran Meta Ads end-to-end, testing creative and audiences and tracking CAC and ROAS to move budget to the best-performing channel.
• Negotiate pricing and scope with an external developer and run customer support on WhatsApp through to resolution.

Growth and Digital Strategy Lead at Colegio Maria de las Mercedes (2025-01 – 2026-02)

Private school, approximately 430 students, family business

• Diagnosed a 52%, decade-long enrolment decline using government data, competitor mapping and family interviews.
• Built and presented a growth plan to the director and board in plain language with simple visuals, targeting 430 to 500 students, approved and executed.
• Built the school's CRM from scratch with automated follow-up reminders and a director dashboard, plus the team's response playbook.
• Managed a £500 monthly marketing budget across Meta and Google, tracking every campaign in GA4.

Risk Analysis Intern at Madero Factoring (2025-11 – 2026-02)

Peruvian invoice factoring and short-term financing company

• Completed more than 20 structured credit risk assessments in Excel, testing liquidity, leverage and payment behaviour to build defensible go/no-go recommendations.
• Used Sentinel, a credit bureau database, to flag over-indebtedness and missed payments before each recommendation.
• Delivered two full assessments inside a two-day deadline, with both recommendations used directly by the board.

BSc (Hons) in Industrial Economics – University of Nottingham (2022-09 – 2025-06)