An experienced Data Analyst with a five-year background specializes in relational database management, data visualization, and data science. Proficiencies include SQL Server, PostgreSQL, Excel, Power BI, and Python. Skilled in multiple programming languages such as Python, Java, C, and C++, with a keen interest in interdisciplinary projects focused on operational efficiency and process automation.

A seasoned professional with two decades of expertise in comprehensive Business Intelligence (BI) projects, encompassing all phases from Data Management and Data Warehousing to the delivery of final dashboards. Proficiencies include data gathering, dimensional modeling, ETL processes, and dashboard creation. Additionally, the individual has served in an architectural role, offering team support and contributing innovative ideas and solutions.

A data analysis professional with a degree in Data Science and ongoing postgraduate studies in Artificial Intelligence, possessing extensive knowledge in programming languages such as Python, SQL, and R. Experienced in developing innovative solutions utilizing relational and NoSQL database systems like PostgreSQL, MySQL, and MongoDB. Proficient in data visualization tools such as PowerBI and Tableau, with a strong focus on Machine Learning, Natural Language Processing, and AI applications to enhance process optimization and data-driven decision-making. Demonstrates analytical and creative skills in integrating and automating processes, alongside experience in building machine learning models and ensuring data integrity through collaboration with compliance teams.

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.

Data Analyst specializing in business intelligence, currently engaged in a degree program in Data Science with a focus on Machine Learning and Deep Learning, aimed at leveraging data for strategic decision-making and business performance enhancement. Key competencies encompass proficiency in English at a B1 level with a comprehensive understanding of technical terminology, as well as extensive experience in utilizing Power BI for creating visually compelling and insightful data presentations. Expertise in Excel includes leveraging advanced features for efficient data analysis and reporting. Proficient in Python along with essential libraries pertinent to data science and machine learning, facilitating the development of customized, advanced analysis solutions. Exhibits strong analytical thinking and problem-solving skills, capable of extracting significant insights from complex datasets. Committed to continuous professional development and staying current with the latest advances in data analysis and machine learning.

An experienced data enthusiast with a strong aptitude for uncovering insights within numerical data, demonstrating proficiency in tools such as Tableau and SQL. Possesses a robust ability to transform raw data into compelling visual narratives that drive strategic decision-making. Adept at identifying patterns and revealing growth opportunities, leveraging expertise in creating dynamic dashboards and executing efficient SQL queries to extract valuable insights. Excels in clear communication, capable of translating complex data sets into accessible narratives that empower teams to make informed decisions. Dedicated to transforming data into actionable insights and advancing the field of analytics.

A Data Analyst endowed with a sharp focus on deriving valuable insights and addressing business challenges to augment organizational value. Possesses expertise in leveraging Excel and Google Sheets to increase efficiency in statistical analysis. Demonstrates proficiency in SQL, Python, and R for gathering and structuring extensive datasets, coupled with adeptness in employing Tableau, Power BI, and Looker Studio for effective data visualization.

This candidate is a seasoned professional specializing in cloud computing, microservices, and serverless architectures, with a strong proficiency in AWS technologies such as Lambdas, API Gateway, and AppSync. Demonstrated expertise includes leading the development of sophisticated systems like Evocities, an intelligent city management platform, and Evoview, a machine learning-based video analysis tool. Equipped with advanced knowledge in machine learning, this individual excels at integrating artificial intelligence into diverse projects, enhancing functionality and performance.

Panorama Necto is a business intelligence and data visualization platform that enables users to analyze, visualize, and share data insights. It leverages AI-driven analytics to provide actionable insights, collaborative decision-making capabilities, and intuitive dashboards for improved business performance.

A Panorama Necto expert must have strong skills in data analysis, proficiency in data visualization, and familiarity with AI-driven analytics. They should be adept at using Necto's dashboard features, integrating various data sources, and utilizing its collaborative tools for enhanced decision-making.

How to hire a Panorama Necto expert

Panorama Necto was developed by Panorama Software, a company known for its pioneering efforts in business intelligence solutions. It was launched to provide advanced data visualization and collaborative analytics capabilities, addressing the need for more intuitive and actionable BI tools. The platform aimed to enhance decision-making processes by integrating AI-driven insights and user-friendly dashboards.

About Panorama Necto

Strengths of Panorama Necto included its AI-driven analytics, collaborative features, and intuitive dashboards. Weaknesses involved potential complexity for new users and limited market presence compared to larger competitors. Competitors included 

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