Looking for a job

Ramón Escobar

@rxmadridt

Data Scientist with 7+ years building IFRS9 credit risk, predictive analytics, and executive dashboards across Latin America.

El Salvador

Message

What I'm looking for

I’m looking for a role where I can lead end-to-end data science work—especially credit risk, predictive modeling, and dashboards—turning machine learning into scalable solutions that executives and regional teams can act on quickly.

I’m a Data Scientist with 7+ years of experience across finance, telecom, and retail in Latin America and the Caribbean. I specialize in credit risk modeling (IFRS9), customer segmentation, and predictive analytics, translating complex data into practical decisions.

In my current role at UNICOMER, I led modernization of a regional risk technology stack using Python, SQL, and BI tools to improve scalability across multiple countries. I also coordinate analytics solutions across teams and deliver executive KPIs and dashboards through Power BI and Looker.

Previously, I updated and documented IFRS9 credit loss models with Python and SAS, refined delinquency prediction models, and built product-insight dashboards using SQL, Python, and Power BI. I’ve also implemented LLMs and AutoML to embed AI-driven solutions into decision-making, supported by an M.Sc. in Data Science (Summa Cum Laude) and strong foundations in statistics and data analysis.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Specialist

Current

Unicomer

Jun 2025 - Present (10 months)

Led modernization of a regional risk technology stack using Python, SQL, and BI tools, improving scalability across multiple countries. Coordinated cross-Latin America analytics initiatives and delivered executive KPIs using Power BI and Looker.

Python SQL Business Intelligence Power BI Looker Risk & Analytics Predictive Analytics Data Modeling Scalability

Data Scientist - Score Developer

Unicomer

Jan 2024 - Jun 2025 (1 year 5 months)

Updated and documented IFRS 9 credit loss models with Python and SAS for regional operations. Refined delinquency prediction models to improve portfolio quality and built executive dashboards using SQL, Python, and Power BI.

Python SAS IFRS 9 Credit Risk Modeling Machine Learning SQL Power BI

Data Scientist

Banco Cuscatlan

Jan 2023 - Dec 2023 (11 months)

Developed customer segmentation models using Python (scikit-learn) and SQL (BigQuery). Implemented LLMs and AutoML to integrate AI-driven decision support and enhanced executive reporting with analytics dashboards.

Python scikit learn SQL BigQuery Customer Segmentation LLM AutoML Predictive Analytics Dashboards Business Intelligence

Digital Quantitative Research Specialist

Tigo El Salvador

Jan 2020 - Dec 2022 (2 years 11 months)

Built executive dashboards in Power BI and Tableau to support decisions on customer behavior and product performance. Automated sales KPI reporting with SQL and Python, and managed market research projects and vendor relationships for strategic insights.

Power BI Tableau SQL Python Sales Analytics Data Visualization Market Research Vendor Management

Regional Business Intelligence Analyst

Hugo App

May 2019 - Dec 2019 (7 months)

Migrated Excel reporting to Tableau dashboards to improve visualization and accessibility. Optimized SQL queries to reduce processing time and created interactive dashboards for tracking key KPIs.

Tableau SQL Data Visualization Dashboarding KPI Tracking Excel Migration Query Optimization Business Intelligence

Education

Degrees, certifications, and relevant coursework

Universidad Galileo

Master of Science, Data Science

2021 - 2024

Grade: Summa Cum Laude

M.Sc. in Data Science, Summa Cum Laude (Jan 2021–Dec 2024). Completed alongside a Postgraduate Diploma in Prediction and Data Analysis and the MITx MicroMasters in Statistics and Data Science (SDS) from edX.