Senior data analytics consultant, focusing on data visualization for profitability, KPIs and strategic analysis, using Big Data. Main data analysis tools: Power BI, Python, SnowFlake, SAS, SQL and SalesForce.

Market analysis of pharmaceutical products in the US and Brazil, technical writing for B2B services and goods, and sales pipeline and ramp-up decisions. Financial viability of projects (NPV, IRR, payback, etc.), financial analysis, and business strategy for chemical products. Marketing positioning for the pharma sector, and market research (scope, database clustering, top-down and bottom-up analysis, statistical tests, and overall reports).

Chinese investment research, internationalization of companies, industrial organization, and capital structure. Analysis of financial and productive investment data, statistical and financial analysis of M&A, and new industrial projects. Analysis of the operational results of companies in global value chains. Research of historical and statistical data of transnational companies internationalization in emerging countries. R and Python programming for multiple regression applied to industrial employment.

Analysis of product clusters, identification of profit gaps, and opportunities to increase business profitability. Market intelligence applied to the retail chain analysis (suppliers, products, sales, and profit). Development of solutions that enhance product gross margin (such as rising in market share strategies, product promotion, renegotiation with suppliers, identification of product breakdowns), using Nielsen and Euromonitor data.

Analysis of financial market data, M&A studies in Brazil. Market Intelligence and prospecting of private equity companies for institutional capital market development. Financial and accounting analysis of companies and identification of IPO opportunities for companies and investment funds. Organization of institutional events aimed at the financial market public.

Econometric analysis of Brazilian and global steel sector data. Analysis of macroeconomic data and report of steel supply and demand. Forecasting of macroeconomics scenarios focused on the steel sector. Data clustering and market intelligence reports.

Support for job vacancies candidates, organization, and support to students events, review, and development of available positions. Relationship with the Human Resources of the companies involved.