Open to opportunities

Luis Segura

@luissegura

Message

I automate fixed-income data pipelines and deliver validated, decision-ready datasets.

Dominican Republic

Message

What I'm looking for

I'm looking for a remote data role where I can automate data transformation, strengthen data quality, and deliver reliable reporting and decision-ready datasets.

At Solve Advisors, I normalize, clean, enrich, and map municipal bond data from multiple vendor feeds into a validated dataset used daily by the investment team.

I've automated ETF processing with Python and Pandas, reducing manual processing time from four hours to one hour per run. I also build data pipelines that flag yield, pricing, and maturity discrepancies before they reach client reports.

I write SQL against Oracle and SQL Server to reconcile bond positions and create monthly portfolio reports and Power BI dashboards. Working remotely with a US-based fintech team since 2020, I manage deliverables independently and communicate asynchronously through Slack.

Previously, at Departamento Aeroportuario, I analyzed airport infrastructure project proposals for economic viability and produced technical documentation that supported data-driven investment decisions. I also built a Python, Pandas, and Tkinter desktop app that transforms up to 50,000 raw-data rows in about two seconds.

Experience

Work history, roles, and key accomplishments

Data Analyst

Solve Advisors, Inc.

May 2020 - Jan 2026 (5 years 8 months)

Normalize, clean, enrich, and map municipal bond data from multiple vendor feeds into a single validated dataset. Automated ETF processing with Python and Pandas, reducing manual processing time by 75%.

Python Pandas SQL Oracle SQL Server Power BI Data Cleaning Data Normalization Data Enrichment Data Mapping ETL Process Automation Reporting Data Quality Validation

Projects Analyst

Departamento Aeroportuario

Feb 2017 - May 2020 (3 years 3 months)

Planned and managed documentation for institutional airport infrastructure projects, producing technical documentation aligned with industry best practices. Analyzed project proposals to determine economic viability and advised on structuring new projects.

Technical Documentation Project Analysis Project Management Data Analysis

Education

Degrees, certifications, and relevant coursework

Instituto Tecnológico de Las Américas (ITLA)

Data Science and Analytics

Grade: Very Good

Pursued studies in Data Science and Analytics, completing relevant coursework in Data Structures, Data Visualization, and SQL Queries. Achieved academic distinction with a 'Very Good' rating.