Data Scientist
CurrentActing in projects related to Data Analytics throughout GM South America with assignments ranging from defining the objectives to be achieved, defining the scope of analysis, designing and executing all processes involved in the analysis: extraction, cleaning, transformation, feature engineering, pre-processing. Implementations of business intelligence and business processes using modern data analysis techniques, using tools such as SQL, Python, PowerBI, databases in a big data environment (Apache Hive, Hue), Oracle Databases, Knime, Apache Spark, Dremio and Azure/Databricks Cloud.Main Projects Completed:- Post-sales bot: development of an analysis of customer groups close to maintenance windows for their vehicles (under warranty and out of warranty) that are activated via WhatsApp messages to schedule service at the dealership network- Customer Scoring: development of predictive models for Brazil and other GM South American countries to classify customers with a propensity to purchase a paid OnStar plan after the free trial period, with the aim of measuring the effectiveness of customer retention strategies and the perception of value of the services offered- Churn Predictor: development of a predictive model to classify the propensity of paying customers to remain or not as OnStar payers, with the aim of reducing churn to 5% throughout the South American region- Order to Delivery: project that maps, through data analysis, all production processes from the placement of manufacturing orders to the delivery of the vehicle to the end customer, with the aim of identifying bottlenecks in these processes and maintaining greater customer satisfaction during the purchasing process until the end of the service delivery of vehiclesYou can check my personal projects in Data Science on my Github: https://github.com/drenangm
