Bachelor of Information Technology from UFRN with a passion for continuous learning and a focus on data analysis. Experience includes data analysis, Power BI, Python, and SQL. Recognized for organizational skills, attention to detail, and commitment to high-quality work.

Data Analyst with over three years of experience, transitioning to a career in development. This professional background includes significant involvement in various startup projects, leading to a strong proficiency in web scraping, object-oriented programming (OOP), Python, SQL, and R. Expertise extends to major Python web development frameworks, including Django, Flask, and FastAPI. Additional skills encompass JavaScript, HTML, CSS, and version control using GIT. Dedication to continuous learning and a passion for programming concepts are evident, with a focus on producing clean, readable, and scalable code.

A communicative individual with a strong interest in diverse viewpoints and opinions, known for facilitating cross-departmental interactions and fostering respectful connections. Exhibits a keen ability to embrace challenges and pursue continual self-reinvention, demonstrating a commitment to learning and stepping outside the comfort zone. Possesses a passion for exact sciences, numbers, and technology, with a proven capacity for swiftly mastering new technologies, systems, and software. Recently concentrated on advancing personal development and technical expertise to enhance professional contributions.

An MBA candidate specializing in Business Analytics and Big Data, holds a Bachelor's degree in Business Administration, supplemented by various academic courses. Experience encompasses advisory roles with a focus on Governance, Risk, and Compliance (GRC), internal audit, internal controls, SOX control, process mapping, documentary review, compliance, and risk and control identification. The expertise covers a range of industries, including agribusiness, consumer goods, technology, energy, steel, and environmental sectors.

Data Analyst with extensive expertise in managing and leveraging substantial business data volumes. Proficient in data analysis and adept at programming in Python and SQL. Skilled in employing essential data visualization techniques and tools critical for enhancing an organization's business intelligence.

With a decade of experience dedicated to the mapping of areas and processes, this professional has demonstrated a strong commitment to driving improvements and efficiencies within organizations. Focused on achieving significant cost reductions through waste minimization, operational optimization, and the implementation of necessary cultural changes, the candidate employs insightful analysis and meticulous mapping techniques to identify improvement opportunities. Currently serving as a Data Analyst at a virtual assistant firm, expertise includes the construction and maintenance of customized dashboards, KPI development, and leadership in Business Intelligence, all aimed at enhancing decision-making processes. Educational qualifications include a postgraduate degree in Big Data Management and Business Analytics, complementing a foundation in Systems Analysis and Development.

Specializing in developing robust solutions with Python, expertise is evident in frameworks such as Flask, FastAPI, and Django, alongside comprehensive skills in database management systems like MongoDB, MariaDB, PostgreSQL, and DB2. Proficiency in Docker and Kubernetes for containerization technologies and experience on the OpenShift platform enhances the ability to efficiently manage container applications, incorporating robust continuous integration and delivery (CI/CD).

With an academic background in Electrical Engineering from the University of Araraquara and ongoing studies in Data Science at UNIVESP, the skillset includes the application of Continuous Integration (CI) and Continuous Delivery (CD) practices using Jenkins for workflow automation. There is significant competency in inter-service communication through RabbitMQ and extensive experience with data ETL processes utilizing IBM DataStage.

Involvement in Artificial Intelligence and Machine Learning projects demonstrates the use of libraries such as numpy, pandas, and sklearn, as well as frameworks including TensorFlow, Keras, Yolo, OpenCV, Tesseract, and Paddle to develop innovative data-driven solutions. Additionally, translating complex insights into accessible information involves creating interactive dashboards with Tableau and Power BI to facilitate data-based decision-making.

A technology innovation enthusiast with a passion for new challenges, this professional aims to apply advanced technical knowledge and collaborate with teams to drive success in transformative projects.

Information Technology professional specialized in Data Analysis, currently progressing towards an MBA in Big Data and Competitive Intelligence and holding a postgraduate degree in Data Analysis. Serving as a Data Analyst with a seven-year background as a Business Intelligence (BI) Analyst, the expertise includes developing predictive, prescriptive, descriptive, and diagnostic analyses, alongside KPI indicators. Proficient in various visualization tools such as Power BI, QlikSense, MetaBase, Looker, and Tableau, dashboards and reports are effectively published to facilitate decision-making for stakeholders and the commercial team.

Salesforce Einstein Analytics is a cloud-based analytics platform designed to provide advanced data visualization, business insights, and predictive analytics. It enables users to explore large datasets, create interactive dashboards, and leverage artificial intelligence to make data-driven decisions.

A Salesforce Einstein Analytics expert must have skills in data modeling, dashboard creation, and data integration. Proficiency in SOQL (Salesforce Object Query Language), SAQL (Salesforce Analytics Query Language), and JSON is essential. Familiarity with Salesforce CRM and understanding of AI/machine learning concepts are also crucial.

How to hire a Salesforce Einstein Analytics expert

Salesforce Einstein Analytics was introduced in 2016 as part of Salesforce's broader initiative to incorporate artificial intelligence into its platform. It aimed to enhance data analysis capabilities, allowing users to gain deeper insights and make predictive decisions based on their business data.

About Salesforce Einstein Analytics

, robust AI-driven insights, and user-friendly interface for data visualization. Weaknesses involve high costs and a steep learning curve for advanced features. Competitors include 

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About Salesforce Einstein Analytics

How to hire a Salesforce Einstein Analytics expert

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