Highly motivated Mathematical Engineer with strong experience in data analysis focused on the financial
sector. Specialized in applying advanced statistical and mathematical modeling techniques to extract
valuable insi…
Highly motivated Mathematical Engineer with strong experience in data analysis focused on the financial
sector. Specialized in applying advanced statistical and mathematical modeling techniques to extract
valuable insights and deliver strategic business recommendations. Skilled in cross-functional
collaboration and effectively communicating technical results to non-technical stakeholders.
• Led the end-to-end development of an AI-powered conversational assistant, including: o Design and implementation of a RAG pipeline using FAISS for metadata retrieval o Integration of a local LLM (Phi-3) for natural-language-to-SQL query generation o Development of a user-friendly graphical interface (GUI) for stakeholder interaction o Connection to n8n workflow automation platform to trigger downstream actions based on user queries (e.g., data exports, alerts, report generation) • Conduct in-depth exploratory data analysis to uncover patterns, trends, and business opportunities. • Develop and deploy predictive models and machine learning algorithms to forecast business outcomes. • Preprocessed and cleaned large datasets to ensure high data quality and modeling readiness. • Created clear visualizations (Power BI, Tableau) to communicate insights to non-technical stakeholders. • Collaborated with cross-functional teams (data engineers, developers, product) to translate business needs into technical data solutions. • Engaged directly with clients to understand objectives and convert them into actionable data science requirements.
Built classification models (linear/logistic regression, machine learning) to profile customer behavior.
Developed econometric forecasting models in R and EViews for budgeting and recovery projections.
Generated scenario-based forecasts for portfolio evolution using statistical models, incorporating both internal and external factors.
Designed and monitored Balanced Scorecard (BSC) metrics for recovery teams, refining KPIs as the framework matured.
Partnered with IT to ensure data quality and successful deployment of analytical solutions.
• Built classification models (linear/logistic regression, machine learning) to profile customer behavior. • Developed econometric forecasting models in R and EViews for budgeting and recovery projections. • Generated scenario-based forecasts for portfolio evolution using statistical models, incorporating both internal and external factors. • Designed and monitored Balanced Scorecard (BSC) metrics for recovery teams, refining KPIs as the framework matured. • Partnered with IT to ensure data quality and successful deployment of analytical solutions.
Automated reporting and control tools using Excel VBA macros.
Analyzed collection performance using descriptive statistics and proposed multi-channel recovery strategies.
Implemented econometric models (R, EViews) for annual budgeting processes.
Developed and tracked KPIs via Balanced Scorecard for recovery operations.
Created interactive Power BI dashboards for collection reporting.
• Automated reporting and control tools using Excel VBA macros. • Implemented econometric models (R, EViews) for annual budgeting processes. • Analyzed collection performance using descriptive statistics and proposed multi-channel recovery strategies. • Developed and tracked KPIs via Balanced Scorecard for recovery operations. • Created interactive Power BI dashboards for collection reporting.
Trained new missionaries.
Traveled and worked in five different cities throughout South Bolivia.
Communicated with members of different social and economic backgrounds.
Maintained data records.
Presented results to mission president with statistical projections to evaluate current methods and future plans.
Led the end-to-end development of an AI-powered conversational assistant, including design and implementation of a RAG pipeline using FAISS for metadata retrieval.
Integrated a local LLM (Phi-3) for natural-language-to-SQL query generation.
Developed a user-friendly graphical interface (GUI) for stakeholder interaction.
Connected to n8n workflow automation platform to trigger downstream actions based on user queries (e.g., data exports, alerts, report generation).
Conducted in-depth exploratory data analysis to uncover patterns, trends, and business opportunities.
Developed and deployed predictive models and machine learning algorithms to forecast business outcomes.
Preprocessed and cleaned large datasets to ensure high data quality and modeling readiness.
Created clear visualizations (Power BI, Tableau) to communicate insights to non-technical stakeholders.
Collaborated with cross-functional teams (data engineers, developers, product) to translate business needs into technical data solutions.
Engaged directly with clients to understand objectives and convert them into actionable data science requirements.
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