I spearheaded the development of optimization models (including the "best time to call") and utilized clustering techniques for financial collection initiatives. To fortify marketing efforts and enhance business oversight, I integrated time series data and key performance indicators (KPIs) into Power BI visuals, resulting in expedited decision-making processes. In pursuit of broader analytical capabilities, heightened productivity, and enhanced governance, we are constructing a data lake through Azure DevOps for CI/CD, PySpark, AirFlow, Glue, Athena, Power BI within a multi-cloud environment.

- I support the development of a revenue assurance platform. Responsible for business rules and user stories.- Platform prototyping in python.- Management of financial flows of advertising campaigns.- Revenue recovery in the order of BRL 490 thousand- Pricing management and auditing system.

- Responsible for the management of the invoicing processes, passing on the order of R$100 million and 6 million invoices;- Control of service and collection processes (financial disputes and defaulters) by means of indicators;- Negotiation of financial disputes that generated R$ 6 million in revenues and savings of R$ 2 million in costs;- Implementation of contract operations;- Coordination between the financial, accounting, fiscal and management information areas;- Construction of Power BI dashboard with data modeling, creation of measures, indicators (KPI and KRI);- Monitoring and evaluation of fraud risk with definition of anti-fraud business rules and implementation of machine learning for fraud prediction generating savings of around R$ 1 million;- Study to optimize billing with process design and redefinition of its workflow that reduced the average time of billing and increased the collection rate by 13 percentage points;- Work Group (WG) leadership to define the accounting revenue and consequent direct and indirect tax bases. Also defined were the procedure for determination and exclusion of revenue; The WG was composed of audit firm, tax office, M4I and Cambridge Telecom;- Tax management with routine assessment, payment and fulfillment of ancillary obligations. Leadership of the tax management software project.

- VBA development to generate comparative tables of revenue vs. goals, both of the day and of the month. This tool allowed the daily adjustment of marketing strategies;- Responsible for Revenue Assurance with routine price control, pricing, financial onlending, billing fraud and acquisition flow, profit margin;- Carrying out studies that supported the migration of the business model in the commercial area, generating greater recurrence in revenue. Studies also supported the creation of new tariffs generating 15% growth in sales and an increase in conversions. Analysis of service margins with the proposition of new content acquisition strategies that resulted in an average reduction of 30% in costs. - Development of framework for the composition of digital sales decks in order to maximize financial returns;- Elaboration and presentation of studies that showed the need for new services and the entrance in new telecommunication operators to sustain the level of growth desired by the company. I actively participated in the growth of 400% in the company's revenues in this period.- Creation of financial scenario for revenue share negotiations.- Revenue and cost projections for launching new services; budgeting.

- Research and analysis with report on the quarterly results of the following companies: Marfrig, Braskem, Gol;- Production of an analytical report on the sugar-alcohol sector (Cosan, São Martinho and Açucar Guarani) for publication in a journal; - Updating of daily reports to monitor the options, term, share rental, ADRs and indicator agenda markets;

- Analysis of balance sheets and elaboration of technical notes with the purpose of elucidating and justifying the economic-financial performance for the various boards;- Investment analysis using the NPV method applied to Free Cash Flow;- Evaluation of operational performance, using the EVA® method as a measure;- Analysis of Annual Reports of the main public and private companies in the electricity sector, investigating the capital structure, debt profile, investment level and profitability with the objective of defining benchmarks to better evaluate Furnas;- Elaboration of macroeconomic scenarios to simulate the impact of a possible exchange rate variation on foreign currency financing;