Bilingual (native Spanish) Data Analyst and engineer with a Master of Data Analytics, With Distinction, from the University of Niagara Falls, Canada. I partner with SMEs to deliver data-driven solutions, from SQL on large multi-source datasets to Power BI dashboards and the analysis behind 20+ government contracts worth $2M+ USD. Microsoft Certified: Azure Data Fundamentals.
Who I am and how I work.
I am an engineer with a solid background in technical support, project coordination, and customer service, and a Master of Data Analytics, With Distinction, from the University of Niagara Falls, Canada. My experience combines analytical thinking with practical problem-solving, allowing me to manage complex tasks and support data-driven decision-making.
During my master’s degree, I strengthened my skills in Python, Power BI, Tableau, and statistical analysis, focusing on predictive modeling, data visualization, and business intelligence. I am passionate about using data to optimize processes, uncover insights, and drive measurable improvements in organizational performance.
Selected work in Python, Power BI, and Machine Learning.
EDA · Feature Engineering · Random Forest · Spatial Insights
Performed predictive and exploratory analysis on LAPD crime data, combining EDA, demographic and spatial patterns, and Random Forest modeling to understand factors influencing crime solvability.
Data Visualization · Classification · Dashboard Design
Built interactive dashboards to explore Iris dataset morphology and support species classification through insightful visualizations.
Time Series · DAX · Profitability Analysis
Developed a forecasting model and profitability analysis using DAX, uncovering customer behavior, high-value product segments, and long-term revenue trends.
Multiclass Classification · Dropout Comparison
Built a two-hidden-layer ANN with dropout analysis, training curves, confusion matrix, and macro-average metrics for wheat seed classification.
Core capabilities for data and analytics projects.
Academic background and formal studies.
Relevant credentials in data engineering and analytics.
Let’s connect and talk about data.