Computer Vision for document information extraction and defect classification.Demand forecasting for building strategic business dashboards.Development of chatbots using LangChain + LLMs to answer questions based on data and text documents, employing techniques like RAG and fine-tuning.Development of crawlers for batch processing with Databricks + Spark.Development of ETLs for Databricks and Azure Synapse.Time Series Analysis for demand planning.

Developing and implementing advanced segmentation models using machine learning algorithms in Python and PySpark.Geomarketing using IBGE data to create zones of interest, with social class and more.Researching and testing new segmentation approaches and methodologies to continuously improve accuracy and effectiveness.Maintaining and optimizing existing segmentation functions to ensure accuracy and relevance.Collaborating with cross-functional teams, including marketing, data science, and engineering, to implement segmentation strategies.Staying up-to-date with the latest trends and advancements in CRM, segmentation, and machine learning. Some of functions that I worked are: Retention, Customer Lifetime Value (CLV), Customer Behavior, Strategic Segmentation

Development of fraud model using econometric and tree based models.Time Series Analysis for demand planning.MLOps with MLFlow and Azure for CI/CD of ML Models.CLV.Segmentation models, clustering.Next Best Offer implementation with MLOps.

Development of web crawlers for collect data, and maintaining using CI/CD techniques.Structuration of a new data lake from 0, combining the data collected and other bureau's/propriertarly data.Models for probability of sell for passives.CI/CD pipelines.Chatbot creation with Watson.Costs reduction for the cloud.Segmentation analysis.Speech recognition, convertion, and sentiment analysis for contacting people automatically.

Image Analysis and Statistics for automated data report, identifying oportunities and helping in decision taking.Optimization models for get best routes, maximizing the return for transport of commodities . (Simplex, CPLex, Graph Theory and Heuristics)Optimization models for parallelize drone's path's in real time, to get the images.Integration between API's.

Development of a neural network classification model to predict big movements in a period of 3 days for a asset.Using sentiment analysis from Thomson Reuters, and features of the market for the asset.

Development of a market simulator for testing strategies. Churn analysis with the marketing team.