Open to data analyst opportunities

I turn complex data into clear decisions.

Data professional with 3 years of experience using SQL and Python to analyze application, API, and operational data in a high-volume payments environment.

Explore my work ↓Resume ↗LinkedIn ↗GitHub ↗
DATASET284,807payment transactions
SLA TREND+16.1ptsJan → Dec violation rate
PORTFOLIO3end-to-end analytics projects
SQL · PYTHON · POWER BI
3years of professional experience
3end-to-end analytics projects
284K+rows in largest analysis
17%higher GPA improvement identified
01 / About

I’m interested in the moment data becomes useful.

My background in software quality taught me to question assumptions, trace issues to their source, and care deeply about data integrity. Today I apply that rigor to exploratory analysis, dashboard development, and communicating the story behind the numbers.

My M.S. in Computer Science from the University of Texas at Arlington gives me a strong technical foundation, while my studies in Purdue University’s Master of Business and Technology program strengthen how I connect analytics with business strategy. Together, they shape my approach: rigorous analysis, clear communication, and a focus on decisions that create measurable impact.

SQLPythonPandasPower BIDAXTableauExcelPower QuerydbtREST APIs
02 / Selected work

From raw data to business decisions.

Each project starts with a real business question and turns complex data into measurable insights and actionable recommendations.

Operations · May–Jul 202501

Customer Support Analytics

An interactive Power BI analysis of SLA performance, ticket demand, agent workload, and customer satisfaction.

Business problem

Support leaders needed a clear view of where SLA performance was breaking down and whether ticket volume, topic, priority, or agent workload was driving the issue.

2,330support tickets
↳Key insightSLA violations rose 16.1 percentage points from January to December without a sustained increase in volume. Pricing & Licensing emerged as a key SLA risk area, while Low-priority tickets made up 51.2% of demand.
Power BIDAXPower QueryExcel
Risk · Mar–May 202602

Payment Fraud Analytics

Exploratory analysis of an imbalanced credit-card dataset to identify fraud patterns and communicate risk through Tableau.

Business problem

Fraud represented a tiny share of transactions, making overall averages misleading. The goal was to isolate the times, amounts, and behaviors associated with disproportionate fraud risk.

284Ktransactions analyzed
↳Key insightFraud represented only 0.17% of activity. The analysis surfaced peak fraud at 2 AM, zero-dollar card-testing activity, and a 3× higher fraud risk above $500.
PythonSQLPandasTableau
Education · Oct–Dec 202503

Student AI Adoption Analytics

An end-to-end analytics pipeline examining AI adoption, academic performance, usage patterns, and ethics across students.

Business problem

Educators needed to understand whether AI usage was associated with better academic outcomes and how adoption patterns differed by tool, frequency, and ethical concern.

1,500student records
↳Key insightChatGPT-4o users showed 17% higher GPA improvement despite lower adoption. Students with high ethical concerns used AI 5.6× daily but saw lower gains than moderate users.
PythonPostgreSQLdbtTableau
03 / Experience

Built on real-world systems.

Feb 2022—Oct 2024

Visa

Software Development Engineer in Test · Austin, TX

Worked at the intersection of data, product, and quality on a high-volume payments platform processing millions of daily transactions.

  • Analyzed payment notification, API, Kafka, and database data using SQL to validate business workflows and investigate issues.
  • Used Splunk queries and Grafana dashboards to monitor operational trends, identify anomalies, and support release readiness.
  • Partnered with product and engineering teams to translate requirements into validation criteria and confirm expected system behavior.
  • Automated recurring validation workflows using Java and Python, reducing manual effort and improving testing consistency.
Jul 2021—Feb 2022

CSC Generation

Software Engineer · Austin, TX

Supported application development and data-focused problem solving in an Agile product environment.

  • Used Python and SQL to work with application and product data, investigate issues, and support software enhancements.
  • Collaborated with engineering and product teams to analyze requirements, implement changes, and validate application functionality.