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Lukas Zamora

@lukaszamora

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Data Analyst turning operational data into insights and recommendations that drive measurable business decisions.

United States

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What I'm looking for

I’m looking for a data team where I can turn messy operational data into clear insights, build dashboards, apply statistical thinking, and automate reporting—so stakeholders can make better decisions at meaningful scale.

I’m an analytically driven Data Analyst with 3+ years of experience turning data into insights and recommendations that help teams make better decisions. I bring a strong quantitative foundation from Applied Mathematics with a focus on statistics, regression analysis, and mathematical modeling, and I’m proficient in SQL and Python.

In my current role, I combine data from multiple operational sources to uncover trends in business performance, build dashboards in Tableau and Power BI for self-service, and apply statistical thinking to measure impact—contributing to a 30% reduction in machine waste. I also automate recurring reporting with Python, document metric logic and analytical workflows for reliability, and clearly translate findings for stakeholders across all levels. I’m eager to bring this rigorous, entrepreneurial analytical approach to a data team working at the scale of a global marketplace.

Experience

Work history, roles, and key accomplishments

Current

Production Associate

Current

Gold Rush Vinyl

May 2022 - Present (4 years 1 month)

Turn operational data into insights and recommendations by defining success measures with stakeholders, uncovering trends, and translating findings into operational decisions. Built Tableau and Power BI dashboards and applied statistical analysis to support a structured initiative that reduced machine waste by 30%.

SQL Python (Pandas)Tableau Power BI Dashboard Development Statistical Analysis Hypothesis Testing Data Automation Data Visualization

Product Data Specialist

Four Hands

Nov 2021 - Apr 2022 (5 months)

Analyzed product and inventory datasets by combining data from multiple systems to surface business insights and support operational decision-making. Maintained reliable analysis inputs by cleansing, validating, and reconciling data and collaborating with cross-functional stakeholders on data-driven recommendations.

SQL Data Cleanse Data Validation Data Reconciliation Inventory Analytics Stakeholder Management Data Quality Assurance Data Modeling Reporting

Data Processing Technician

Loram Technologies

May 2021 - Nov 2021 (6 months)

Processed and validated large datasets to maintain data integrity and support internal reporting and quality assurance initiatives. Identified anomalies and inconsistencies, documented findings, and worked with teams to resolve data issues efficiently.

Data Processing Data Validation Data Integrity Anomaly Detection Data Quality Assurance Documentation Quality Control Dataset Troubleshooting

Education

Degrees, certifications, and relevant coursework

Texas A&M University

Bachelor of Science, Applied Mathematics (Computer Science concentration)

Earned a Bachelor of Science in Applied Mathematics with a concentration in Computer Science, building a quantitative foundation in statistics, regression analysis, and mathematical modeling.