An experienced professional in business analysis and renewable energy projects excels at leading multifunctional teams and implementing data-driven solutions. Specializing in agile methodologies, project management, and advanced analysis, notable proficiencies include effective team leadership and timely project delivery through the utilization of Agile and Scrum methodologies. The professional demonstrates expertise in data analysis, machine learning, and deep learning algorithms using platforms such as TensorFlow and PyTorch, as well as advanced data modeling, processing, and visualization techniques. Additionally, adeptness in data visualization is showcased through the proficient use of tools like Microsoft Power BI, Tableau, and Streamlit to effectively communicate insights. Skills in cloud computing encompass a broad knowledge of AWS, Azure, Google Cloud, and IBM Watson, which are employed to develop scalable and secure solutions. Fluency in both English and Portuguese is also noted.

A data professional with over five years of experience, specializing in the development of effective solutions to business challenges. Exhibiting a strong background in problem-solving and communications, adept at extracting insights from large datasets and translating them into comprehensible information for diverse audiences. Proficiencies include SQL, Excel, BigQuery, and data visualization tools such as Looker Studio and Metabase. Currently engaged in the field of fraud prevention.

With over six years of experience in the IT sector specializing in business and data analysis, this professional has focused primarily on projects involving Business Intelligence (BI) and Big Data. Key competencies include requirement gathering, screen prototyping, ETL processes, database management and modeling, and dashboard creation. These skills have consistently been leveraged to deliver substantial value to client businesses in the domains of BI and Big Data.

Data Specialist with over twelve years of experience in major retail and service industries, offering a robust foundation in team leadership and commercial planning. Extensive experience as a Supervisor in Sales Front has imparted a broad business perspective and strong leadership abilities. Currently functioning as a Market Intelligence Specialist in a Market Insights cell, leveraging expertise in modeling, ETL, ELT, Big Data technologies, and various data analysis tools to provide valuable insights for executives and contribute to data monetization initiatives. Proficient in SQL (Oracle), HQL (Hive), Alteryx, Tableau, Excel, and Python.

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.

Computer Engineering student with an incomplete course of study at the Federal Technological University of Paraná (UTFPR) and currently enrolled in the 5th period of an Information Systems degree at the same institution. Coursework has been augmented by additional studies in PowerBI, React, and Python through online platforms. Also possesses knowledge of the C programming language.

Yasmin Huvos, a 25-year-old professional from Brazil, is currently a Data Analyst. Her passion for collaborating with diverse individuals and cultures drives her work. She finds motivation in learning from challenges and consistently seeks opportunities for growth and development in her field.

A qualified professional with over 10 years of experience in information management, specializing in identifying gaps through statistical analysis to inform decision-making. Proficient in BI tools such as Power BI and Tableau, as well as programming languages including R and SQL, alongside advanced Excel capabilities. Demonstrates extensive experience in analyzing sales processes (Sell In and Sell Out), pricing strategies, strategic planning, and enhancing business routines across various regions, channels, and products/categories. Displays a strong aptitude for rapid learning of new activities and technologies, continuously updating knowledge on market trends and innovations.

Splunk Light is a data analysis tool designed for small IT environments, providing log search and analysis capabilities. It enables users to collect, index, and visualize machine-generated data from various sources, facilitating real-time insights and troubleshooting.

A Splunk Light expert must have skills in data indexing and search query formulation using the Splunk Processing Language (SPL). Proficiency in configuring data inputs and managing log files is essential. Knowledge of dashboard creation, report generation, and alert setup within Splunk Light is also necessary for effective data visualization and monitoring.

How to hire a Splunk Light expert

Splunk Light was introduced by Splunk Inc. as a solution tailored for small IT environments, aiming to deliver simplified log management and analysis capabilities. It was created to offer an accessible, cost-effective version of Splunk's enterprise-level software, enabling smaller organizations to benefit from real-time data insights and troubleshooting.

About Splunk Light

 included its user-friendly interface, real-time data analysis, and cost-effectiveness for small IT environments. Weaknesses involved limited scalability and fewer features compared to Splunk's enterprise offerings. Competitors included Loggly, 

, and Graylog, which also offered log management and analysis solutions tailored to various business sizes.

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About Splunk Light

How to hire a Splunk Light expert

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