Overview

We focused on Machine Learning and Advanced Analytics for banks and insurance companies. Main Customers Portfolio: • Insurance Company, Zurich. • Startup, Foodcast. • Bank, Supervielle. • Insurance Company, Zurich Santander. • Bank, Santander Río. Main Projects Portfolio: • Azure based cross/up sales propensity models on Databricks with PowerBI reporting. • Sales forecasting with Pandas, LightGBM and Prophet. • SQL Server + ML Services for ETL and automatic model training, deployment and monitoring. • Machine Learning clustering procedure using Python, K-Means and Plotly reporting. • Cross/up sales and churn propensity models with SPSS Modeler ETL and Python LightGBM. • Scikit-learn clustering models to assist marketing teams in tailoring communication strategies. • Shiny model monitoring dashboards with similarity score A-B testing and what-if scenarios. The data adventure continues at Wais!