Joaquin Chimenti Email and Phone Number

Consultant for a major development bank- Designed and proposed an analytics strategy to transition the organization towards a data product-centric approach, integrating Design Thinking, CRISP-DM, Agile Squad model and inverted brainstorming to align with management needs.- Led the creation of a comprehensive MLOps methodology document for implementation on Azure, aiming to transform the organization into a data-driven entity by enhancing the efficiency and quality of data processes and machine learning models.- Supported the credit exposure management initiative by validating data lake models and developing DAX measures for Power BI, along with building a Prophet time series model for forecasting.- Led the Data Alumni project to enhance data quality and optimize the information collection process, including the creation of a data quality rulebook and cleansing historical data for integration into the data lake.

- Led implementation of psychometric credit scoring model using machine learning to enable loans for applicants with limited credit history- Built classification models utilizing XGBoost and Decision Trees to predict client default risk; informed cross-sell and collections strategies lowering call center conversations by ~50%- Developed a model for the AML department to predict which clients, after generating an alert, are more likely to be reported for suspicious activities. This decision tree achieved a KS of 46, allowing efficient allocation of efforts by identifying over 30% of alert-generating clients with very low Suspicious Activity Report (SAR) rates.- Employed NLP techniques on call center conversations to detect vulnerabilities in auto loan admission processes- Performed exploratory analysis of credit card transactions; identified spending behaviors correlated with default risk including higher rates for narrow spending categories- Automated fixed income yield curve modeling using Nelson-Siegel-Svensson and liquidity risk reporting using Python, SQL and Tableau, improving efficiency by eliminating >2 hours of manual processes per day

- Identifying, measuring and proactively addressing risks. - Squad Lead & PO of Data Tribe.- Credit Risk metrics calculation and analysis. - Control and consolidation of all Risks (Financial and non-Financial). - Presentations for Top Management (Risk Management Committee) on the monitoring of thedifferent Risks.

As my first professional experience, I interacted with other business departments and withpeople from other cultures, having the opportunity to visit the main plant at San Pablo. Duringmy internship I worked in dealership training, helping the organization to measure and improvedealership participation.