- Project management for calculating confidence intervals from sampled data, including the development of a Python library that improves the accuracy of analyses and facilitates the work of the engineering team. - Collaborated with stakeholders, presenting analysis results and actionable insights to support decision-making and ensure alignment with project goals.- Development of Machine Learning models to identify key variables and their uncertainties, enhancing insights into customer behavior and aiding in targeted marketing strategies.Tools: Python for Data Analysis and Machine Learning, Google Cloud Platform (BigQuery and Vertex AI).

- Analysis and management of large volumes of data, audience segmentation for CRM campaigns, and process automation through the creation of optimized queries. - Planning and evaluation of CRM campaigns, optimizing interaction paths via emails, SMS, and push notifications, along with performance analyses to enhance engagement and conversions. - Management of a multidisciplinary team and oversight of the CRM backlog, coordinating the creation and delivery of automated triggers, reducing delivery time and improving operational efficiency. Worked closely with stakeholders to prioritize backlog items, ensuring alignment with business needs and regularly communicated progress and outcomes.- Data Battle: Development of Machine Learning techniques to solve inter-departmental challenges and drive innovation, including the application of clustering and AI for strategic recommendations based on customer behavior. Tools: Python, SAS Guide (Macros, Automation, Proc SQL), SQL, Google Ad Manager and Google Analytics, Excel, Powerpoint, Salesforce (Marketing Cloud, CDP, Einstein), Power BI (ETL, DAX).

4MK Solutions Consultant

- Data Analysis and Statistical Modeling: Conducting analyses and modeling to assess risk and liquidity in vehicle financing and investment portfolios, using Big Data, clustering, and time series to optimize risk management.- Creation and Processing of Variables: Expertise in creating and processing quantitative and qualitative variables with R Studio and SAS Guide (SQL) to support data-driven decision-making.Tools: Python for Data Analysis, R Studio, SAS Guide/Viya for Machine Learning, PostgreSQL, SQL, Machine Learning, Data Analysis, Power BI, Jira, Confluence, Agile.

- Conducted statistical data analysis and created insightful dashboards illustrating the temporal production of biogas(from cattle waste) in order to enhance fuel production through innovative methods. - Designed a fluid-mechanical agitator for a biodigester, aiming to boost biogas production efficiency. Presented the successful outcome at the International Biomass Congress - 2018. Tools: Python for Data Analysis, R Studio, Advanced Excel, Powerpoint.

- Development of passive client prospecting strategies- Digital Marketing- Mechanical structure designer