• Incorporate RAG models to adjust LLMs to the business context or specific use case, allowing the use of generative AI functionalities with more relevant and accurate content.• Apply Auto ML methodologies to create accurate models that respond more efficiently to changes in data and automate the validation and selection process.• Participate in the deployment of tools created in the cloud, ensuring that they are developed in a way that makes efficient use of available resources and complies with cybersecurity guidelines.• Increase the adoption of the developed tools by facilitating trainings to diverse audiences with different levels of technical knowledge, making advanced analytics models more accessible in a user-friendly way.

• Build and automate ETL pipelines for data science and analytics using a variety of local and big data technologies including Python, PySpark, Qubole, Databrick, AWS, and more.• Develop execution improvement features for long-running tasks using multiprocessing, reducing them by 80%.• Build autoregressive and multivariate predictive models using linear regression, random forest, ARIMA, etc.• Implement sales and media spend optimization models using differential evolution algorithms.• Design web-based analytic applications using the Dash Python library to present end-state characteristics and model results.

• Create end-to-end analytics solutions that involve all production stages such as needs definition, data ingestion, discovery, transformation, quality testing, data visualization and dashboarding, product marketing, and demoing for various areas such as product, customer service, and sales.• Apply supervised and unsupervised machine learning models including classification, neural networks, predictive models, and NLP to gain insights for business cases such as customer segmentation, seasonality, recommendation models, topic classification, and entity resolution. • Participate in the design and implementation of the machine learning model pipeline to deploy them into production, make them available for consumption by various audiences, and make them easy to use.• Generate ad hoc reports to support, for example, resolving data quality issues or seizing opportunities that require quick response.• Research and implement new technologies to find better and faster solutions to business needs.

Crossover is a 100% remote company that offers mainly software development services and tools to manage teams remotely in an efficient way. As a Productivity Analyst and Coach, I was able to work with many kind of teams and helped them increasing their productivity, some of achievement in this role were:• Successfully created engaging dashboards for multiple audiences within the company using data analysis techniques, visualizations and SQL queries to summarize and efficiently share results and business trends.• Scrape and shape the data gathered by company’s application and displayed on the website to find good practices, trends and correlations between the time management and collaborators results and using them in the creation of training materials for more than 1000 users.• Held and present group and individual coaching sessions with contributors distributed around the world using multiple collaboration tools and helping them on average to increase their productivity by 80%.

Alimentos Polar is a company focused on the production and distribution of food products with high quality standards. As a production supervisor some of my main achievements were: • Double the pet food line production capacity used, guarantying the staff safety and the quality requirements. Implementing processes and strategies found trough the analysis of the data gathered in the different stages of the process.• Successfully implement action plans to accomplish the requirements of internal and external audits• Using ERP SAP efficiently to manage the inventory and minimize the warehousing costs. Additionally using the data gathered to implement strategies for waste and reprocess generation.

• Apply the SMED methodology reducing the cleaning time in one of the critical areas of the company and increasing its productivity.• Implementation and design of improvements to ensure product quality in the oats line and reduce waste and reprocess.• Involve and support the production staff thought a training plan in the new pet food line of the company, which objective was to close knowledge gaps and increase the area productivity.