Anderson D.

Data Analyst

Data Scientist
4/1/2023 - 1/1/2024

Gained strong expertise in econometrics with a focus on the agricultural market. Utilized statistical software such as STATA, R, and Python for data analysis, model building, and hypothesis testing. Developed robust econometric models to analyze market trends, price elasticity, and consumer behavior. Applied time series analysis and panel data techniques to forecast crop yields and market demand. Designed surveys and experiments to collect primary data, ensuring methodological rigor. Managed large datasets using SQL and Excel, performing data cleaning and transformation. Leveraged GIS tools for spatial data analysis, contributing to comprehensive market assessments. Ensured effective communication of findings through detailed reports and presentations, employing advanced data visualization techniques in Tableau and Power BI. Collaborated with cross-functional teams to integrate econometric insights into business strategies, enhancing decision-making processes. Demonstrated a deep understanding of agricultural policies and their impact on market dynamics.

Data Scientist
11/1/2022 - 4/1/2023

Developed proficiency in demand forecasting methodologies and sales data analysis, leveraging advanced Excel functions, SQL, and Python for statistical analysis and predictive modeling. Utilized tools such as Tableau and Power BI to create dynamic, real-time dashboards that provided insights into sales trends and performance metrics. Managed large datasets with SQL and performed data cleaning, normalization, and transformation processes to ensure data integrity and accuracy. Applied machine learning algorithms using Python libraries such as scikit-learn and TensorFlow to enhance forecast accuracy and identify key sales drivers. Collaborated closely with cross-functional teams including marketing, finance, and supply chain to align forecasts with business strategies and operational capabilities. Demonstrated strong project management skills by leading initiatives to automate forecasting processes, reducing manual workload and increasing efficiency. Additionally, ensured all forecasting procedures were documented and adhered to regulatory compliance standards.

Data Scientist
1/1/2022 - 11/1/2022

Developed and refined machine learning models to detect and prevent fraudulent activities, showcasing proficiency in Python and R for algorithm implementation. Utilized frameworks such as TensorFlow, Keras, and Scikit-Learn to build predictive analytics solutions. Demonstrated expertise in feature engineering, model training, and validation using large datasets. Employed SQL for data extraction and transformation, and used Hadoop and Spark for handling big data operations. Implemented real-time fraud detection systems with Apache Kafka and deployed models in production environments using Docker and Kubernetes. Showcased skills in version control and collaborative development through Git and used JIRA for project management and issue tracking. Actively participated in code reviews and contributed to the development of best practices for ML model lifecycle management.

Data Analyst
6/1/2021 - 12/1/2021

Excelled in collecting, managing, and transforming large volumes of data into actionable models for stakeholders. Developed proficiency with big data techniques, leveraging artificial intelligence and business intelligence methodologies to create comprehensible reports. Utilized tools and frameworks to handle and organize extensive datasets, ensuring data-driven decision-making for the organization.

Strategic Intelligence Researcher
10/1/2020 - 6/1/2021

Responsible for data handling and dashboard creation to support the INPI in strategizing dissemination and improving the facilitation of intellectual property rights usage, training, and application. Developed and enhanced elaborate dashboards using Tableau, including deploying its functionalities in the cloud. Introduced and maintained a routine of weekly status reports, and performed diagnostics to identify and address productive and operational gaps within bureaucratic processes.

Distance Learning Coordinator
2/1/2018 - 6/1/2020

Managed centers across various cities for a Higher Education Institution (IES), ensuring effective student orientation and project oversight. Implemented commercial proposals and fostered partnerships with companies and government entities. Expertly controlled and systematized administrative functions. Played a pivotal role in introducing Data Drive culture, significantly enhancing decision-making processes within the institution.

Data Science and Analytics at University of São Paulo
2021 - 2022

Professional in Intellectual Property and Technology Transfer for Innovation at State University of Maringá
2020 - 2022

International Business and Foreign Trade at UniCesumar is not an educational degree; it's an educational institution. Could you please provide an educational degree to proceed with the translation if needed?
2005 - 2009

French at CAMPUS LANGUES
12/1/2016

Specialization in Higher Education Teaching at UniCesumar
9/1/2013