Currently implementing Data Analytics on Stratio Data Fabrics at Banco de Pichincha, as part of the restructuring of the new RESU-RIA architecture. Certifying databases for decision-making and ensuring quality and QA standards. Migrating reports to Power BI at the bank.

Responsible for designing a data architecture and organizing and planning a new data warehouse for the consumption of information sources by users across different areas and access levels. Built Machine Learning models for payment default, SVM for classifying good and bad payers, Deep Learning for credit scoring of clients without a credit history, cash flow estimation, and report generation (portfolio, collections, finance) in Power BI and Tableau.

Responsible for developing Machine Learning and Deep Learning models, as well as migrating the corporate data warehouse to a data lake on Azure to centralize and scale information sources. Led the creation of pricing models within Marcimex's Pricing team in collaboration with McKinsey & Company, generating an estimated impact of USD 2.0 million in additional EBITDA. I also took part in migrating analytical dashboards from Tableau to Power BI for the marketing, accounting, and finance areas.

Data science trainer specialized in delivering training to master's students on machine learning & deep learning models, data analysis, and programming in Python and RStudio. I also design and facilitate sessions on multivariate statistics and econometrics, combining theory with practical applications. I solve technical and academic problems related to data modeling.

Implemented Big Data, Machine Learning, and data mining tools to transform econometric models for financial valuation, developing custom algorithms that optimized WACC estimation and risk assessment for SMEs. In collaboration with the Chilean pioneer of the Latin American valuation methodology, I implemented a comprehensive financial and economic evaluation system for SMEs. The methodology developed has been adopted by several SMEs and has served as a reference for regional business development programs.

Census coverage supervisor for the South District of Cuenca during Ecuador's 2020 census. Responsible for training teams in georeferenced census data collection techniques, including the use of digital tools and data structuring. I supervised census coverage and progress, ensuring the accuracy and efficiency of the process and playing a key role in the success of this important census activity.

Conducted market research, developing and applying effective research methodologies. Contributed to various business projects through the use of statistical and scientific tools such as Power BI, Stata, SQL, SPSS, Eviews, Python, RStudio, and Tableau. Also actively participated in financial advisory for startups, providing strategic and analytical solutions to support their growth.

Management and cleaning of corporate financial information to optimize decision-making. Development of statistical, econometric, and machine learning models for advanced financial data analysis. Implementation of control and information-processing systems to improve efficiency in business management and support data-driven strategy development.

Coordinated research teams for data collection. Taught courses for institutes, groups, schools, and universities on statistics and mathematics applied to economic and financial research. Collaborated as a data scientist on financial advisory engagements and decision-making support.