TerraMagna is a company that is reinventing the way agriculture credit is underwritten, provided and collected in Brazilian agriculture by leveraging technology and alternative data sources to transform a risky and volatile process into a simple and safe experience.At TerraMagna he worked as a Data Analyst and Data Scientist as follows:- Developing data products to analyze and support the credit granting decision;- Construction of products related to credit modeling, Monte Carlo simulations and database modeling;- Worked in defining experiments, collecting and structuring data, as well as analyzing the results of the studies;- Worked with technologies such as Streamlit (for building data products), SQL and Python for database modeling and some frameworks for statistical modeling;- Worked with BigQuery to model tables and optimize them for the best use of different Stakeholders within the company (commercial, financial, operational and HR teams);- Worked with the Tableau tool to create Data Visualizations for various areas of the company.

- Treatment, transformation and data analysis using programming languages ​​(Python and R), statistics and data analysis software such as Alteryx. With the aim of solving problems, improving processes and products, in addition to assisting in more assertive decision making. - I face business problems using classification, optimization, clustering, NSM and regressions techniques. - I work in defining experiments, collecting and structuring data, as well as analyzing the results of the studies. - Assistance in building data visualizations with a focus on Storytelling to democratize information and understand the results of studies and experiments carried out by the team. - I work as a facilitator for the implementation of an agile framework for task execution and prioritization of team demands.Technologies used in everyday life: R, Python, SQL, Alteryx, Tableau, Jupyter Notebook, Rstudio, PyCharm and AWS.

It performs the following functions as a Data Analyst:- Development and implementation of data analysis, data collection systems and strategies that optimize the efficiency and statistical quality of the analyses.- Identification, analysis and interpretation of trends and patterns in complex data sets.- Extracting data from primary and secondary sources, to reorganize it into a format that can be easily read by humans or machines.- Identification of new technologies that bring productivity and quality gains in the projects carried out.- Development of data visualizations on platforms such as Power BI, Microstrategy and Google Data Studio for executive leadership that effectively communicate trends, patterns and forecasts using relevant data.

Data analyst with a focus on Conversion Optimization and development of new projects in the area of ​​data analytics and data marketing.Daily experience with:- A/B and multivariate tests;- Dashboard development in Google Data Studio;- Improved data visualizations with a focus on readability and extraction of useful information;- Qualitative research focused on user experience;- Monitoring and analysis of usability tests;- Study and application of new technologies;- Market research analysis and benchmarking;

Trainee in the area of ​​conversion rate optimization (CRO).Participation in training to perform work with A/B and multivariable tests, development of copywriting for websites, landing pages, applications and monitoring of usability tests. In addition to creating wireframes focused on UX design and analysis of market research and benchmarking.

Scientific initiation in the area of ​​logistics, focusing on the methodology of Data Envelopment Analysis (DEA, Data Envelopment Analysis). This methodology allows for an efficiency analysis that compares a revealed efficiency (considered as optimal) with that of units that do not have the same efficiency, establishing an indicator for evaluating the input/output ratio of these units. This methodology is used in much of the world by electric energy regulatory agencies, where they determine the efficiency of companies through the use of this model. In Brazil, ANEEL uses this model to determine the efficiency of companies in the environment.