Carlo
Rondón

Data · Growth · Micro SaaS · AI

I build data products, micro-SaaS and applied AI for financial services. From data pipeline to pricing model — where technology creates an edge in fintech and banking.

Professional experience

Cash Management Executive Corporate & Large-Enterprise Banking Mar 2026 – Present
APIs
Banking interconnection
Real-time
Payments, collections & reconciliation
C-level
Level of engagement
  • Sale and implementation of banking connectivity APIs (host-to-host, ERP-to-bank integration and open banking) that interconnect corporate clients' treasury systems with the bank's core, automating payments, collections and reconciliation in real time.
  • Design and construction of financial models for the corporate-client portfolio, projecting ROI scenarios and cash in/out product placement that drive digitalization and transactional revenue.
  • Executive relationship management with Peru's leading corporations, driving the adoption of digital and connectivity solutions before executive committees.
Payments & Loyalty Associate Dec 2025 – Mar 2026
+20,000
Active clients
Exponential
Cash-in growth
Elasticity
Pricing analysis
  • Optimization of the payments business pricing and promotions model through demand-elasticity analysis and advanced customer segmentation, maximizing conversion and activation.
Senior Data & Commercial Analyst Openpay Mar 2025 – Dec 2025
12 months
Rollout to 3 areas
In production
Model still live today
International HQ
Model adoption
  • Rolled the framework out over 12 months to Operations (post-sale prioritization by transaction value and growth projection), Marketing (segment focus on e-commerce) and Fraud (commercial signals the detection engine hadn't mapped yet), with Peru's country manager as executive sponsor.
  • The model remains in production today and was adopted by the international HQ in Mexico, whose fraud team requested the commercial dataset.
Data & Commercial Analyst Openpay May 2022 – Mar 2025
<100 → 40K+
Merchants as it scaled
2% → 8%
Lead conversion
19% → 42%
Junk-lead rejection
  • Joined a BBVA payments fintech serving fewer than 100 merchants with no defined data processes: decisions ran on a weekly spreadsheet and a monthly results deck. I built predictive models and daily-cut reporting that became the decision layer for four teams as the business scaled past 40,000 merchants.
  • Lifted commercial lead conversion from 2% to 8% in under three months by scoring lead quality, raising junk-lead rejection from 19% to 42% and refocusing sales effort on winnable accounts.
SQLPythonPower BIAWSETLFinancial modelingPricingSalesforce
Business Intelligence Associate Aug 2020 – May 2022
Top 10%
Firm performance (2019–2020)
+10
Data initiatives led
  • Led 10+ commercial and data initiatives, significantly increasing opportunity detection across the firm's service lines.
  • Analytical and commercial support to Audit, PwC Peru's main revenue line, in designing and implementing growth strategies.
  • Recognized with performance above the 90th percentile of the firm for two consecutive years (2019 and 2020).
Business Expansion Intern Sep 2019 – Aug 2020
+700
Staff trained
Nationwide
Salesforce project scope
  • Led the Salesforce migration across Peru, designing the training plan and onboarding 700+ of the firm's staff onto the new CRM system.
Business IntelligenceCommercial analysisSalesforceConsulting
Customer Experience Intern Feb – Oct 2019
5
CX improvement initiatives
Retail & Wholesale
Customer segments
  • Designed loyalty metrics for retail and wholesale segments, assessing campaign impact on the bank's customer base.
  • Active participation in 5 successful initiatives to improve customer experience.

Skills

01
📊

Data & Analytics

  • SQL, Python, R Studio
  • Power BI, Looker Studio, DAX
  • Advanced Excel
  • Applied statistics
02
🏦

Financial Strategy

  • Advanced financial models
  • Pricing & elasticity analysis
  • Business cases & ROI
  • Customer segmentation
  • Cash Management · Payments
03
☁️

Cloud & Data Eng.

  • AWS (S3, Glue, Redshift)
  • ETL architecture & automation
  • Banking data governance
  • Data pipelines
04
🤝

Leadership & Clients

  • Corporate & Large-Enterprise Banking
  • International C-level presentations
  • Cross-functional teams & stakeholders
  • Salesforce CRM
05
🚀

Micro SaaS & Product

  • Micro-SaaS development
  • Product strategy & monetization
  • Automation with APIs & webhooks
  • Digital launch & growth
  • No-code & low-code tools
06
🤖

Artificial Intelligence

  • Prompting & AI agents
  • Automated LLM workflows
  • OpenAI / Anthropic API integration
  • AI applications in finance & business
  • Data analysis with ML

Education & Certifications

Education

UP
Postgraduate · 2024
Master in Management
Pacífico Business School · Lima, Peru
UP
Undergraduate · 2021
Bachelor in Marketing
Universidad del Pacífico · Lima, Peru

Certifications

Data Specialist BBVA University · 2024
✓
SQL for Data Science UCLA Extension · 2022
✓
Professional Certificate in Data Science IBM · 2020
✓
Big Data & Cloud Analytics Kedge Business School · 2020
✓
Microsoft PL-300 · Power BI Data Analyst Associate Microsoft · 2025
In progress
Google Analytics 4 Google Skillshop · 2025
In progress
AWS Certified Data Engineer – Associate (DEA-C01) Amazon · 2025
In progress

Languages

Spanish Native
English Professional
IELTS Academic Band 7.0
Italian Conversational

Portfolio

01
🎨

Latrue

Social project: a digital magazine boosting emerging Latin American art. 150+ artists supported across the region with editorial content, outreach and community.

EditorialCommunityCuration
Live
02
🚗

Consulta Vehicular

Vehicle-verification SaaS for Peru. Check any vehicle's history, legal status and technical data in seconds by integrating official registries. Useful for buyers, dealerships and fintech platforms.

SaaSPythonAPI
03
📈

Digital Payments in Peru — BCRP

Adoption dashboard 2018–2025 with BCRP data. Impact of Yape-Plin interoperability. Time intelligence with DAX.

Power BIPythonDAX
Under construction
04
🗺️

Financial Inclusion by Region

Banking-access and digital-wallet gaps by department. Sources: INEI + SBS 2019–2024.

Power BI MapsSQL
Under construction
05
🔮

Churn Prediction — Fintech

Predictive churn model for payments products with an executive monitoring dashboard.

PythonScikit-learnPower BI
Under construction

Contact

Let's talk.

Available for opportunities in banking, fintech and data.

carlorndn@gmail.com LinkedIn Download CV

Lima, Peru · carlorndn@gmail.com