Open to opportunities

Luis Fabian Amagua

@luisfabianamagua

Message

I build machine learning, analytics, and BI solutions that improve marketing, credit decisions, and fraud prevention.

Brazil

Message

What I'm looking for

I'm looking to build scalable machine learning, predictive analytics, and business intelligence solutions that improve financial decisions, marketing strategies, customer segmentation, and measurable business outcomes.

I'm currently improving data products at NEORIS, where I reduced Power BI dashboard resource consumption by 90% and developed graph-based analysis to detect identity-sharing patterns for fraud prevention.

At Banco ProCredit, I built machine learning customer profiles and segmentation frameworks that increased campaign engagement by 20%, while improving credit-decision workflows and marketing performance reporting.

Across banking, fintech, and retail roles at Banco ProCredit, ETAFASHION, and LUZVERDE, I've used Python, R, SQL, and Power BI to automate reporting, forecast demand, personalize campaigns, and turn customer data into measurable business outcomes.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Analyst

Current

NEORIS

Mar 2026 - Present (6 months)

Optimized Power BI dashboards and SQL queries, reducing resource consumption by 90%. Developed graph-based customer network analysis to identify fraud patterns and mitigate identity theft risks.

Power BI SQL ETL DAX Graph Analytics Fraud Detection

Data Analytics Specialist

Banco Procredit

Mar 2025 - Mar 2026 (1 year)

Developed machine learning customer profiling models in RStudio, increasing campaign engagement by 20%. Redesigned microcredit approval simulator and built segmentation frameworks for marketing personalization.

R RStudio Machine Learning Power BI SQL Server Customer Segmentation

Business Intelligence Specialist

Banco Procredit

Mar 2024 - Mar 2025 (1 year)

Enabled identification of over 5,000 inactive customers monthly, increasing conversion by 10%. Automated loan report consolidation, reducing processing time by 80%, and developed Power BI dashboards for campaign monitoring.

R RStudio Power BI SQL Server Machine Learning Data Analysis Marketing Analytics

Data Analyst

Etafashion

Aug 2023 - Mar 2024 (7 months)

Maintained weekly business reports using SAP, SQL Server, and Python, improving campaign responsiveness by 12%. Conducted customer behavior analysis and forecasted product usage with time series models.

SAP SQL Server Python Power BI Time Series Analysis Customer Behavior Analysis

Data Analyst

Luzverde

May 2022 - Aug 2023 (1 year 3 months)

Developed weekly commercial dashboards using Power BI and SQL, improving goal achievement by 25%. Automated credit risk reporting, reducing manual work by 50% and optimizing reporting processes.

Power BI SQL Excel Data Visualization Report Automation