With nine years of experience in data science and four years serving as Head of Data Science, this professional excels in leveraging artificial intelligence, advanced machine learning, and deep learning to tackle complex business challenges. Demonstrated expertise in programming languages such as Python, R, and SQL, coupled with proficiency in data visualization tools like Tableau, Power BI, and Data Studio, empowers the ability to transform raw data into actionable insights. Notable achievements include the development of a predictive credit scoring model and leading data initiatives that enhance strategic decision-making, optimize performance, and drive measurable business outcomes.

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.

Data scientist with over two years of experience and a degree in Aeronautical Engineering, specializing in data engineering and data science projects. Expertise includes utilizing statistical analysis and machine learning methodologies to solve complex problems, with proficiency in tools such as Python, R, Power BI, and SQL. Recent accomplishments involve developing machine learning models for industrial applications, creating ETL tools for carbon emission reporting, and designing management dashboards to improve decision-making processes. Holds multiple certifications in Data Science and relevant technologies, demonstrating a commitment to continuous professional development.

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.

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.

Leandro is a Senior Product/Project Manager. He is experienced in product development and user-centered design and is a certified Lean Inception Trainer and Design Sprint facilitator. 

Data Engineer with three years of experience specializing in the energy and financial sectors, complemented by one year of consultancy in Tableau. Expertise includes the utilization of Microsoft Azure cloud infrastructure for ETL/ELT processes, leveraging tools such as Python, Spark, SQL Server, Azure Synapse, Azure Data Factory, Databricks, and Pyspark. Proficient in constructing data lake architectures within the Azure Cloud environment and adept at developing and maintaining seamless data pipelines. Demonstrated capability in performance tuning for optimization, managing CI/CD processes using Git Actions, and a thorough understanding of both Agile Scrum and Waterfall methodologies. Skilled in data visualization tools, including Tableau and Power BI. Academic credentials include a Bachelor's degree in Information Systems.

Holding a Bachelor's Degree in Electrical Engineering from the University of São Paulo, I have accumulated extensive experience in software development and data engineering since 2019. My expertise spans across a variety of technologies, including SQL, Python, Scala, Spark, Kafka, Docker, Kubernetes, Apache Beam, and cloud platforms such as AWS and GCP. With a focus on addressing complex problems and devising innovative solutions, I have obtained certifications as a Professional Scrum Product Owner I from Scrum.org and a Google Cloud Certified Professional Data Engineer. I continue to expand my knowledge and skills through ongoing studies in this dynamic field.

Periscope Data (By Sisense) is an advanced analytics platform that enables data professionals to integrate, analyze, visualize, and share data insights. It combines SQL, Python, and R in one environment to streamline workflows and allows for the creation of custom dashboards, reports, and visualizations to support data-driven decision-making.

A Periscope Data (By Sisense) expert must have strong SQL skills, proficiency in Python and R for advanced analytics, and experience in data visualization. They should also be adept at data integration and ETL processes, as well as familiar with dashboard creation and report generation within the platform.

How to hire a Periscope Data (By Sisense) expert

Periscope Data was created in 2012 to provide a comprehensive analytics solution for data professionals. It aimed to simplify the process of integrating, analyzing, and visualizing data. In 2019, it merged with Sisense to enhance its capabilities and offer a more robust analytics platform.

About Periscope Data (By Sisense)

Strengths of Periscope Data (By Sisense) include its integration of 

, user-friendly interface, and powerful visualization capabilities. Weaknesses include a steep learning curve for non-technical users and potentially high costs. Competitors include 

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About Periscope Data (By Sisense)

How to hire a Periscope Data (By Sisense) expert

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