Clicdata

Management of the entire project domain is conducted by utilizing expertise to elevate the performance of teams, including developers, designers, product owners, and support staff. This is achieved through the establishment of effective processes, motivation strategies, and strategic decision-making. Additionally, performance data analysis is conducted to assess the department's efficiency, project progress, and customer satisfaction. Proficiency in multiple languages enables support for international clients.

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.

Luciana has over 10 years of experience as an Architect and Project Manager and six years as a UX/UI Designer. Luciana's skills include designing usability and interfaces for web applications, conducting user research, defining KPIs, and performing requirements analysis.

Holding the position of SR Processes Analyst, my professional background encompasses five years of experience specializing in Databases and Software Engineering. My academic endeavors in Natural Language Processing (NLP) and topic mapping, showcased in projects such as [mapping topics](https://github.com/klemeragm/lda_academic_work), have utilized NLP concepts to cluster historical pieces based on similarity.

During my undergraduate studies, I actively engaged in multidisciplinary projects and participated in a GovTech startup, where I developed organizational dashboards and revamped financial and big data analytics for thousands of public servers.

In subsequent roles, I focused on Software as a Service, managing extensive databases of intellectual property, including trademarks and patents. Concurrently, I have delved into machine learning with an emphasis on Large Language Models (LLMs), executing various related projects.

My technical skill set includes web development using C#, Python, and Node.js, as well as front-end development technologies like HTML, CSS, JavaScript, and NextJS. Further details on my professional journey and projects can be found at [my portfolio](https://klemeragm.github.io/my-cv/).

A dual citizen of Portugal and Brazil, possessing six years of professional experience as a computer engineer in the domain of business intelligence. Expertise includes the development of business intelligence solutions, dashboard creation, data manipulation, and system integrations, with a keen analytical approach and a passion for data.

Academic credentials include a Bachelor's degree in Computer Engineering from Metodista University São Paulo (2018) and a Postgraduate degree in Data Science with a focus on Big Data Analytics from Mackenzie University São Paulo (2020). Professional certifications encompass Tableau Specialist (ID 999441) and Google Analytics (ID 53844274). Proficient in Power BI, Tableau, and Google Data Studio, with a working knowledge of QlikView, QlikSense, and SpotFire. Achieved multiple Business Intelligence badges from Tableau, namely Tableau Analyst, Developer, Author, Consumer, Data Scientist, Designer, and Executive Sponsor.

Proficient in advanced English, with ongoing coursework to further language skills. General competencies cover system engineering, documentation, electronic devices, computer networks, software architecture, and calculus. Extensive experience with ERP systems, data-driven decision-making, programming logic, MIS, UML, business intelligence requirements gathering, data mining, statistical analysis, data strategy, data collection, big data processing, and a range of analytical tools, including Microsoft Excel, Tableau Desktop, Google Data Studio, Qlik, Tableau Prep, Talend, Pentaho Data Integration, Looker, Power Query, and Tableau Public.

Database expertise includes MySQL, Oracle 11g/12g, SQL Server 2008/2016, HP Vertica, Amazon Redshift (AWS), Amazon Athena, Hadoop, Azure, and Databricks.

A skilled developer with a passion for creativity and storytelling, this candidate excels in collaborative environments and enhances team dynamics. Holding a degree in Digital Games, they are currently pursuing specialization in game and film scripting while expanding their knowledge in Full Stack Web Development. Proficient in both frontend and backend technologies, the candidate demonstrates expertise in REACT, HTML, JavaScript, Python, REACT Native, CSS, MongoDB, SQL, Tableau, and more, along with familiarity in GIT, GitHub, Scrum, and Agile methodologies. Their professional experience includes a role as a Data Analyst, where they acted as a Tableau developer and server administrator, integrating SQL systems with Tableau for national-scale projects in Brazil and Peru, as well as prior experience in sales support and system registration in various industries.

A Business Administration graduate from PUC Minas, completed in December 2022, specializing in entrepreneurship, business strategies, and people management. Currently employed as a Marketing Data Analyst, leveraging expertise in Excel, SQL, Python, and Tableau to derive insights that improve marketplace operations and marketing strategies. Founder of an online store specializing in football jerseys. Committed to driving strategic company growth through data analysis. Proficient in English and pursuing further language skills in French and Spanish for enhanced personal and professional capabilities.

Data analyst with over one year of professional experience in data analysis, demonstrating robust numerical and logical reasoning capabilities alongside a strong interest in programming and data manipulation. Primarily specializing in Power BI, the candidate has successfully led projects across diverse sectors, including retail, technology, and financial institutions. Proficient in data manipulation using Excel and SQL, the analyst is also acquainted with other Business Intelligence tools such as Tableau. Focused on leveraging data analysis and business intelligence to facilitate data-driven decision-making and support companies in achieving their strategic objectives.