•Accelerating the digital initiatives of Glen Raven's new business. Building data-centric solutions using Databricks, Azure Data Factory and Power BI. - Contractor

•Implemented different text classification algorithms (fine-tuned LLM, tf-idf, word2vec, gcn) in Python to classify if a law verdict pertains to a landmark case.•Implemented NLP tools in Python to extract and classify data from Brazilian legislation. Designed knowledge graphs to represent law logic to process it in downstream Machine Learning tasks.•Published preliminary work at BraSNAM/CSBC 2022.

•Led 20 talented data analysts to implement the decommissioning of all legacy Excel-based processes substituting them for Power BI Dashboards.•Designed and built close to 100 dashboards for several stakeholders’ teams. Our team had 400 monthly active users to support. •Collaborated closely with the data engineering team to find more efficient workflows of data self-service. Worked with Databricks and Python to build personalized and optimized ETL for our team.

•Redesigned all price-volume-mix analyses built on Excel to a complete solution using Power BI and SQL. Gained real-time access to all KPIs and eliminated all manual data entry. Gained 30pp contribution margin vs. last year of that period. Managed a yearly revenue of 9 figures in USD.•Formulated revenue models to support the decision-making process of our pricing strategy. Coordinated meetings with each territorial commercial director to gather market feedback on our prices and to analyze and discuss competitor prices.•Planned and budgeted all monthly price discounts and weekend deals. Had weekly meetings to analyze price discount effectiveness in terms of volume uplift and market share gain.

•Coordinated all monthly regional strategy meetings. Designed effective presentations to motivate and direct our sales team through visualizations, metrics, and data. •Cross-analyzed internal and external data (Nielsen) to test markets hypothesis through A/B testing. Increasing the high-end segment market share on the off-trade channel that year.•Developed analytical tools (Excel / Power BI / SQL) that improved the speed and availability of several revenue metrics of Ambev’s third-party wholesalers. Reduced by 30% the number of unplanned discounts in our wholesalers.•Managed periodical business reporting of several KPIs, working across multiple teams to identify and present high-level analytics to key stakeholders and executives.

•Managed a team of 6 salesmen with a total of 800 clients and had a yearly average sale of 7 figures in USD. Achieved 100% of the annual sales goals and was awarded that year's national soft-drink sales incentive.•Aided the local Sales Manager in various analytical ad-hoc requests using SQL and Excel/VBA, improving the acceptance rate of multiple price discount proposals.

•Developed an app in OpenCV that detects and analyze vehicles in traffic.•Research collaboration with government engineers to acquire videos and data.•Published work in : XXVII Associação Nacional de Pesquisa e Ensino em Transportes - ANPET em Belém, Pará. https://www.anpet.org.br/ssat/interface/content/autor/trabalhos/publicacao/2013/334_RIC.pdf