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Gabriela
Welcome to CazVid!
Contacto
Competencias
Demonstrated experience with Python.
Demonstrated experience with R.
Demonstrated experience with SQL.
Demonstrated experience with Power BI.
Demonstrated experience with ETL.
Educacion
Idiomas
Experiencia
Model Data Scientist
Led methodological validation for in‑development and production risk models across Credit, IFRS 9 (PD/LGD/EAD), forward‑looking (FWL) scenarios, VaR, and Collections, ensuring conceptual soundness, data integrity, and performance stability, Implemented, monitored, and maintained model pipelines with versioning, backtesting, stability/shift monitoring, and periodic recalibration aligned to policy and governance standards, Produced and presented detailed model evaluation reports that translated statistical findings into clear, actionable insights and recommendations for stakeholders and committees, Partnered with risk, finance, and collections teams to prioritize model improvements, address findings, and track remediation to closure
Data Analytics & Integrity Risk Services – Staff Consultant
Implemented ETL (Extract, Transform, Load) processes, ensuring data integrity and quality through validation with accounting reports, Developed dynamic dashboards and effective presentation of KPIs for strategic decision-making, utilizing advanced data visualization techniques, Implemented Machine Learning algorithms for transactional data analysis and business pattern detection, enhancing risk assessment capabilities, Managed analytical projects for U.S. audit teams, ensuring compliance with international standards and regulatory requirements, Collaborated with global teams to standardize data analysis procedures and reporting frameworks
Commercial Operations and Analytics Intern
Built end-to-end Power BI analytics dashboards, integrating automated data pipelines and KPI monitoring to deliver real-time, decision-ready insights for leadership, Produced executive profitability analyses by sales channel with cohort and contribution margin views, including trend, variance, and attribution analyses for commercial performance reviews, Operationalized OKRs for Key Account Managers by designing measurable targets, creating portfolio health metrics, and running campaign lift and ROI analyses to guide account strategy, Developed data models and reproducible analytics in SQL and Python for segmentation, lead scoring, and pricing or campaign optimization, improving commercial outcomes through data-driven experimentation and A/B testing
Investment Risk Intern
Automated risk dashboards and KPIs using Python, SQL, and Power BI to enable data-driven decisions, Valuation of fixed income securities, structured products, and derivative instruments using industry-standard methodologies, Comprehensive risk analysis for fixed income and equity issuers, including ongoing monitoring of credit ratings and market indicators, Development and maintenance of credit risk scorecards and financial analysis frameworks, Implementation of automated financial statement analysis methodologies and alternative fund evaluation using Python and Power BI, Collaboration with senior analysts to identify and assess potential investment opportunities and risks, Support in client portfolio reviews and investment committee presentations, Assistance in regulatory compliance monitoring and reporting requirements
Risk Division Intern
Calculated and projected key risk indicators across the Financial System (at Bank and Portfolio level) including expected loss, probability of default, and other metrics using public regulatory data (SBS), contributing to comprehensive risk assessment and monitoring, Developed and implemented automated solutions using SQL and Python for financial data analysis and risk management under IFRS9 standards, improving efficiency in risk reporting and analysis processes, Designed and implemented dynamic dashboards and evolutionary reports using Tableau and Excel, with notable achievement in automating the SBS Consolidated Credit Report (3rd place, Interbank Internship Program), Collaborated with risk teams to enhance risk monitoring capabilities and streamline reporting processes, Assisted in developing risk models and methodologies aligned with regulatory requirements, Conducted data quality assessments and validation checks to ensure accuracy of risk metrics, Participated in risk committee meetings and contributed to risk management presentations