Sas

Data Engineer specializing in Python and SQL, with extensive experience in an array of tools and platforms, including Azure Data Factory, Databricks, Apache Spark, AWS Redshift, S3, Pentaho Data Integration, and Rundeck. Proficient in database management, covering Oracle, SQL Server, and NoSQL databases. Demonstrates strong capabilities in data analysis and visualization, particularly through Power BI, and holds significant expertise in cloud services via Azure and AWS.

Specializing in the development of Business Intelligence structures, a Senior BI Analyst brings expertise in data extraction, transformation, and loading using platforms such as Azure Synapse and SAP Data Warehouse Cloud. Proficient in dashboard creation with Power BI, the role includes significant experience in financial data warehousing, particularly in the implementation of Financial Data Warehouses, and leading application development projects for healthcare institutions. Additional capabilities extend to utilizing TOTVS and QlikView for business intelligence solutions.

Experience in Oracle database administration, including serving as a Database Administrator and Systems Analyst for VB and .Net environments, involves monitoring log growth routines, listeners, and the overall database management. Previous project leadership includes managing the database development for an e-learning system, demonstrating skills in database management and team leadership.

Proficient in data analysis and big data analytics, expertise encompasses ETL processes, Azure Databricks, Azure Data Factory, Microsoft Azure platform management, SAP Datasphere, Synapse Azure, SQL Azure, Azure DevOps, Azure Data Lake, Pentaho business intelligence tools, and Microsoft SQL Server administration. Visualization skills are demonstrated through advanced use of Microsoft Power BI and Data Lake technologies.

Graduate in Business Administration and Systems Analysis with seven years of experience in data generation and information provision, currently serving as a data specialist within the MIS team. Pursuing an MBA in Big Data, the professional has substantial expertise in SQL Transact using both Oracle and SQL Server. Proficient in developing ETLs with SSIS and Pentaho, and experienced in Data Visualization using PowerBI and Tableau. Additionally, possesses some familiarity with Alteryx, SAS, PowerCenter, Qlikview, and SPSS Modeler.

An enthusiast in technology and artificial intelligence with a robust foundation in business and finance, currently residing in Piracicaba. Holds a Bachelor's degree in Computer Science and Administration and has pursued postgraduate studies in Digital Marketing and Big Data. Actively engaged in augmenting expertise in Data Science and Analytics through an MBA at USP ESALQ and a Data Scientist certification at EBAC, under the mentorship aimed at integrating technical acumen with business insights to advance proficiency in Data Science and Artificial Intelligence. Proficient in tools and programming languages such as Python (including Numpy, Pandas, Scikit-learn, Matplotlib, Tensorflow, seaborn, PyAutoGUI), R, Power BI, SQL, front-end technologies, statistics, and Machine Learning. Dedicated to continuous skill enhancement and eager to contribute to innovative teams.

A seasoned Data Scientist and Data Analyst with over 9 years of experience in data analysis, transformations, and treatment procedures, specializing in descriptive and exploratory analyses. Expert in the creation of DataMarts and databases for statistical model generation, including the development of models for forecasting and clustering. Proficient in producing reports to support data-driven decision-making within business areas. Possesses strong cross-departmental communication skills and a keen interest in knowledge sharing. Demonstrates effective teamwork and collaboration capabilities. Recent projects include the development of a model to analyze the purchasing behavior of mobile phone consumers, optimizing marketing campaigns to enhance e-commerce sales. Additionally, for an MBA thesis project, developed and optimized Siamese Neural Networks for detecting fraudulent signatures.

Statistician possessing over seven years of expertise in machine learning, modeling, inference, and prediction. The professional journey includes significant involvement with statistical analysis, statistical modeling, big data, and machine learning algorithms. Academic contributions include lecturing on statistics and data processing to both undergraduate and postgraduate students. Currently engaged as a Data Scientist, specializing in the development of financial machine learning models for credit risk analysis. Academic credentials include a Ph.D. in Animal Genetics and Breeding.

The candidate possesses a robust academic background in mathematics and statistics, complemented by extensive experience in data analysis, particularly within data science. Leveraging a strong foundation in econometrics, the candidate has developed predictive models using both frequentist and Bayesian approaches, focusing on macroeconomic variables and risk assessment. Proficient in machine learning techniques for clustering, regression, and classification, the candidate has demonstrated capabilities in identifying fraudulent financial activity through unsupervised learning methods. Skills in programming languages such as R and Python are applied in creating analytical dashboards and automating processes, enhancing decision-making efficiency. Currently pursuing an MBA in Artificial Intelligence and Big Data, the candidate is dedicated to advancing expertise in data-driven methodologies.

A BI Consultant with over a decade of experience in the data field, holding a robust proficiency in SQL Server, Oracle, PostgreSQL, Python, Power BI, Tableau, Qlik Sense, SAS, Teradata, and SSIS. Presently, skills are being expanded through the study of JavaScript. Proficient in English.