Evelyn J. Mares
- |-| El Paso, TX
Professional Summary
Data Analyst with an M.S. in Data Analytics and a B.S. in Engineering, combining deep technical expertise in Python, SQL, Tableau, and Power BI with real-world experience in manufacturing, operations, and maintenance. Proven ability to convert complex datasets into actionable insights using machine learning, statistical modeling, and dashboard design. Adept at collaborating with operators and cross-functional teams to deliver process improvements and operational excellence. Passionate about driving innovation and improving decision-making with data.
Education
Master of Science in Data Analytics
Western Governors University (WGU) — Graduated March 2025
Capstone: Forecasted Walmart stock prices using time-series (ARIMA) modeling
Key projects: Customer churn analysis, predictive modeling, KPI storytelling
Tools: Python, R, Tableau, Power BI, SQL
Bachelor of Science in Metallurgical and Materials Engineering
University of Texas at El Paso (UTEP) — Graduated December 2017
Member: The Minerals, Metals and Materials Society (TMS), American Foundry Society (AFS)
Associate of Science in Pre-Veterinary
El Paso Community College (EPCC) — Graduated May 2014
Technical Skills
Analytics & Programming:
Python (pandas, NumPy, scikit-learn, matplotlib, seaborn), R, SQL, Jupyter, PostgreSQL, Minitab
Data Visualization & BI Tools:
Tableau, Power BI, Excel (PivotTables, Solver, Macros), PI Vision
Machine Learning & Statistics:
Descriptive statistics, regression, clustering, classification, ARIMA forecasting
Data Engineering & Management:
ETL, data wrangling, relational databases (MySQL, PostgreSQL, Snowflake), data validation
Other Tools:
AutoCAD, XRD, SEM, Cura, Simplify3D, metallographic testing
Soft Skills:
Agile teamwork, cross-functional collaboration, data storytelling, training, leadership, bilingual (Spanish – native)
Professional Experience
Metallurgist
Freeport-McMoRan – El Paso, TX
Sep 2018 – Jul 2022
Analyzed high-volume process data to identify inefficiencies in copper rod production, leading to a 10% increase in operational efficiency
Proactively engaged with operators and frontline teams daily to gather qualitative insights, validate data findings, and implement real-time improvements
Collaborated closely with maintenance personnel to align predictive analytics with preventive maintenance schedules, reducing unplanned downtime
Led and participated in cross-departmental initiatives to troubleshoot chronic process issues, resulting in reduced waste and more stable operations
Designed and deployed automated KPI reports and dashboards in PI Vision, significantly improving process transparency and team responsiveness
Delivered technical and safety training to shift teams, promoting a culture of continuous improvement and data-driven decision-making
Conducted statistical root cause analyses using control charts and regression models, improving product quality and reducing rework
Metallurgical Intern
Freeport-McMoRan – Safford, AZ
May 2018 – Aug 2018
Conducted experiments to detect sampling bias in cathodes, improving contaminant tracking accuracy
Developed a digital Survey123 system for reject tracking, enabling real-time quality insights
Presented findings to engineering teams, resulting in process adjustments within weeks
Undergraduate Research Assistant
W.M. Keck Center, UTEP
Sep 2017 – May 2018
Performed mechanical testing on 3D-printed materials for aerospace use
Co-authored and published research: “A Comparison of the Physical Properties of Two Commercial 3D Printing PLA Grades”
Maintained meticulous logs and documented experimental results for reproducibility
