Data Science and Analytics
I found my passion in solving problems using Data and helping individuals and companies to make better decisions using Analytics.
In the traditional approach, a significant portion of a Data Scientist’s time is spent on data cleaning and preparation, with only a tiny fraction dedicated to generating insights and reports.
I recommend an alternative approach:
The overall involvement of the Data Scientist will increase, but the final product will be more impactful, delivering business actions and insights that drive real results.
Introduction to the Problem The following problem occurred in the United States in the late…
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Introduction to the Problem The data are for labour market outcomes (employment rate, unemployment rate,…
My knowledge in Finance, Management of Results, Forecasting, Projects and leadership improve my capabilities to understand business problems with an out-of-box and comprehensive vision. I have experience in Reports, Budgeting and Management KPIs in sales, Procurement, Controllership and Logistics. Also, working together with Strategic Plans Area and Board Company members, I could improve criteria and support companies to make better decisions based on numbers. I strong believe that understand the business problem is the ZERO stage of all Data Analyses.
I am a Graduate in Statistics, and I worked as a Statistician consultant in applications of Regression Analyses, Time Series Projection, Classifications models, Logistic Regression and others. In my Master's degree, my thesis depicted comparisons between Insolvency Forecasting Models.
Furthermore, I have experience in lecture Statistics and Financial Mathematics in Colleges in Brazil. Transform complex topics in an understandable language in a classroom was a challenge that drove me to develop new capabilities in Storytelling.
All statisticians have at least one program language proficiency. In my undergraduate course, I studied R Programming, my favourite Data Analysis Language (dplyr, tidyr, ggplot2, shyne, caret and others). Nowadays, I am peeking Python, and the versatility of Jupyter Notebooks surprised me (Pandas, Scikit-Learn, Pytorch). In addition, on my post-degree course, I am learning about C#, Java, SQL/NoSQL, and solutions to Data visualization such as Tableau and Power BI. Independently of the language, the best tool is that solve the business problem.
