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Daniel Izquierdo

Mid-level Data Analyst specializing in financial risk and data automation

Capital OneFlorida International UniversityMcLean, VA5 Years ExperienceMid LevelWorks On-Site

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About

Analytics professional from Capital One with strong experience automating risk, reconciliation, and regulatory reporting workflows in financial services. They combine deep SQL/Python pipeline skills with stakeholder-facing dashboard and KPI design, delivering measurable impact like 30% performance gains, sub-24-hour anomaly detection, and 100% data integrity for regulatory filings.

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Key Strengths

  • Built SQL-based reconciliation automation for messy financial/legal transaction data
  • Strong data quality and logic normalization expertise across mismatched source systems
  • Improved query performance by 30% through partitioning on indexed date ranges
  • Reduced manual case volume to one third via exception-based reporting
  • Saved hundreds of agent hours per month through audit automation
  • Built reproducible Python analytics pipelines in Databricks using pandas and PySpark
  • Implemented validation gates for schema changes and unexpected nulls
  • Successfully drove stakeholder trust by parallel-running automation against manual audits
  • Owned end-to-end risk dashboard delivery from stakeholder alignment to rollout
  • Cut time to detection from 30 days to under 24 hours
  • Achieved 100% data integrity for monthly regulatory filings
  • Designed actionable business KPIs such as autopay enrollment with edge-case handling
  • Refined metrics with segmentation logic to support product and campaign analysis

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Experience

Data Analyst Associate – Analyst Development Program (ADP)Capital One · Feb 2024 – Present
Bilingual Operations SpecialistA Plus Bus USA Corp · May 2021 – Jan 2024

Education

Florida International Universitybachelor, Internet of Things (IoT) (2023)

Languages

EnglishSpanish

Certifications

Microsoft Azure FundamentalsMicrosoft Azure AI Fundamentals

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Daniel IzquierdoMid-level Data Analyst specializing in financial risk and data automation