Data Analyst specialized in translating complex data into actionable business insights to facilitate informed decision-making. Committed to process automation and continuous improvement, with extensive experience aiding small to medium-sized organizations in developing effective business and product strategies. Proficient in managing projects from inception to completion, with a strong background in data collection and analysis.

Expertise encompasses Data Analysis, ensuring Data Quality, and utilizing tools such as PowerBI, DAX, Tableau, Google Data Studio, Google Analytics, and Google Tag Manager. Adept at managing advertising platforms like Google Ads and Facebook Ads, with a solid foundation in project planning, execution, and market research.

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.

A professional in Information Technology with over 12 years of expertise, specializing in Project Management and Product Management. Extensive experience contributing to the success of organizations through the implementation of comprehensive processes, adept problem-solving, and fostering innovation. Proficient in leading teams across varying levels of maturity, ensuring integration of technology and digital transformation within diverse business sectors.

Demonstrated capability in managing multidisciplinary teams to achieve and exceed challenging objectives, irrespective of technical complexity, by syncopating development cycles with planned deliverables.

Successfully managed a System Modernization Project, surpassing targets by 5% through modernizing 15% more legacy systems than initially planned, transitioning from Mainframe systems to enhance maintenance efficiency and reduce costs.

As a Delivery Manager, achieved a significant reduction of 50% in the SAP Basis team's backlog within four months, improving operational efficiency and accelerating service delivery timelines.

Implemented a Kaizen project within the support team, resulting in savings of R$100,000 by internalizing the processes for updating the ECM Hyland Onbase system.

Proven record of establishing departments, training teams, and implementing processes to maintain robust and scalable operations. Eager to further refine management capabilities, underscored by participation in professional development courses such as Storytelling for Business, Digital Business Metrics, Leadership Training, and Scrum Master - PSM I Preparation.

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 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 Mechanical Engineer with a degree from UFPR, this professional has transitioned from industrial production roles to a specialized focus on consultative technical sales. Leveraging strong communication and persuasive skills, experience was gained in various sales positions, including a Sales Excellence Analyst role, where proficiency in data analysis supported strategic decision-making. This individual possesses expertise in creating and maintaining analytical dashboards using Power BI and Excel, along with data extraction and storage in SQL databases. An analytical mindset drives a commitment to enhancing sales performance and generating qualitative insights that contribute to business success.

A Data Engineer with four years of experience in Engineering and Data Analysis, specializing in converting data into actionable insights across various business domains such as Sales, Finance, Marketing, Customer Success, Governance, and Product. Expertise spans the entire data lifecycle, including extraction, preparation, analysis, and providing recommendations to inform business decisions.

Proficient in designing data pipelines utilizing Python (PySpark) and SQL on Databricks for data ingestion and transformation, along with implementing Big Data solutions on Delta Lake, Data Lake, and Data Warehouse on Azure and AWS cloud platforms. Experienced in developing ETL pipeline routines using Data Factory, custom Python scripts, AWS Lambda, and Airflow, and adept at integrating data from multiple sources like APIs, relational databases (PostgresSQL, MySQL, Oracle, SQL Server, MariaDB, Cassandra), and storage solutions (Azure Data Lake Gen 2, S3). Additionally, proficient in handling various file formats such as Parquet, Delta, CSV, Excel, and JSON.

Demonstrated capability in data analysis, crafting queries in PySpark and SQL to generate reports and dashboards using tools like PowerBI, Tableau, Metabase, and Streamlit. Well-versed in data contracts and versioning scripts within DevOps CI/CD pipelines, and experienced in agile Scrum methodologies within collaborative squad environments.

Other technical proficiencies include Git, Docker, with foundational knowledge of Kubernetes (K8), Terraform, and Jenkins.

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.

Phocas Software is a business intelligence and data analytics platform that helps organizations visualize, analyze, and report on their data. It provides tools for transforming raw data into actionable insights, enabling users to make informed decisions based on real-time information.

A Phocas Software expert must have skills in data visualization, SQL for database querying, ETL processes, and familiarity with ERP systems. Proficiency in dashboard creation and data analysis techniques is also essential.

How to hire a Phocas Software expert

Phocas Software was founded in 2001 to address the need for user-friendly business intelligence solutions. It aimed to help companies easily analyze and visualize their data, driving better decision-making processes.

About Phocas Software

Phocas Software's strengths included user-friendly interfaces, robust data visualization, and real-time analytics. Weaknesses involved limited advanced analytics features and potential integration challenges with some systems. Competitors included 

Phocas Software

Top 5*

Business Intelligence

About Phocas Software

How to hire a Phocas Software expert

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