Duvan Fruto

I work as a consultant for various BQS clients, helping them implement automation solutions based on machine learning. Development and optimization of a cluster classification model. (Python) Creation of a PostgreSQL database to store user interactions with the app. SQL queries. Collection, cleansing, and processing of large amounts of data. Web scraping with Python. Creation of dynamic dashboards. (Power BI) Development of a generative AI model (RAG, REST API, embeddings, chunks, and tokenization).

I led the data team for the development of a bot detection system for marketing campaigns. Based on classification and regression models, the system was able to detect around 30% of fraudulent traffic. EDA: Advanced SQL queries: CTE, joins, subqueries. Machine Learning model development: regression and classification. Feature Engineering and data model evaluations Data visualization and dashboard: Power BI. Deploying data models to production: Azure cloud

Team collaboration to complete marketing projects according to the traffic performance Marketing channels classification based on Cluster Models using Python Finance planning based on Statistical Linear Regression Models SQL advanced queries Data Storytelling and Visualization using Power BI

Team collaboration to execute digital marketing strategy for Electric Division Sentiment analysis of social media comments, in order to improve copies in advertising Presenting data and reports to different audiences Designing marketing funnels and Audiences segmentations CRM data management and analysis

- Data Analytics - DataBases Fundamentals - Artificial Intelligence Algorithms - Stadistical Methods