I am a Data Analyst and Statistician with more than 20 years of experience transforming complex data into actionable business insights. My background spans banking, telecommunications, consumer goods, market research, consulting, and education.
I specialize in SQL, statistical analysis, data mining, customer analytics, business intelligence, data quality, reporting, and data visualization. I work with large datasets to identify patterns, opportunities, risks, and meaningful trends for business decision-making.
I have extensive experience designing dashboards, developing segmentation approaches, building predictive models, and translating business questions into practical analytical solutions. My work includes churn analysis, purchase propensity, profitability, market intelligence, sales analytics, and customer experience research.
I use tools such as Power BI, Tableau, SAS, SPSS, R, RStudio, Python, SQL, Excel, and Metabase. I combine rigorous quantitative methods, including regression, clustering, decision trees, ANOVA, and RFM analysis, with clear and effective communication for non-technical stakeholders.
I enjoy partnering with cross-functional teams in Sales, Marketing, Risk, Purchasing, and leadership roles. I am also an educator in data analytics and AI-enabled analytics, helping others connect data preparation, statistical methods, machine learning, and business interpretation.
I teach practical data segmentation and AI-enabled analytics, connecting statistical methods, machine learning concepts, and business objectives.
I translate analytical concepts into practical examples for non-technical audiences and guide projects from data preparation through business interpretation.
I built Power BI dashboards and statistical analyses to identify sales patterns, growth opportunities, and high-potential customers. I applied RFM segmentation to identify cross-selling opportunities by geography and product.
I analyzed sales, inventory, rotation, margin, profitability, competitive information, market trends, and sales projections. I partnered with Marketing, Sales, and Purchasing teams to turn business questions into actionable analysis and reporting.
I delivered statistical and data analytics projects involving data cleaning, preparation, modeling, interpretation, and executive communication.
I analyzed data from more than 3,000 students across 22 institutions and 20 countries using correlation analysis, regression, clustering, ANOVA, and mean comparisons. I translated complex findings into clear insights for clients and decision-makers.
I analyzed large consumer and market datasets by combining advanced statistics, data visualization, and business interpretation. I developed a socioeconomic-level indicator using income, household assets, expenditure, and education variables.
I applied clustering, regression, decision trees, and ANOVA using SPSS and SAS to identify consumer profiles, patterns, and trends. I also used Power BI and SPSS to analyze prices, consumption, market size, opportunities, sample quality, and representativeness.
I managed research and analytics projects involving sampling, databases, customer experience, and national studies. I coordinated analytical requirements, information management, and stakeholder communication.
I analyzed NPS and customer satisfaction survey data using SPSS. I conducted descriptive analysis, mean comparisons, and regression analysis to identify relationships among demographic, economic, and behavioral variables.
I integrated and cleaned high-volume databases using data mining techniques to identify business-relevant patterns and opportunities. I converted transactional data into customer insights for portfolio segmentation and 360-degree customer views.
I developed predictive models for churn and purchase propensity to support relationship marketing initiatives. I also created demographic, financial, and behavioral segmentation using SAS and SPSS while partnering with Sales and Risk teams to support business decisions.
I worked on quantitative analysis for market share, churn, coverage, quality, and customer satisfaction indicators.
I also supported competitive intelligence and market analysis activities.
I analyzed sales and customer portfolios across segments, with emphasis on profitability, frequency, volume, and value.
I supported distribution-related analysis to improve understanding of customer and sales performance.
Licenciatura, Statistical Sciences
Degree in Statistical Sciences.
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