Segmetrics

A Data Analyst specializing in data collection, organization, and analysis using advanced tools such as Excel, SQL, Pentaho, and Power BI. Possesses a keen ability to identify relevant trends and patterns in data, consistently applying a proactive approach to problem-solving to meet business needs. Demonstrates a strong commitment to collaboration with multidisciplinary teams to discover innovative ideas and deliver valuable insights. Dedicated to continuous improvement by learning from experienced colleagues and staying abreast of new technologies to enhance skills and knowledge.

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.

An MBA candidate specializing in Business Analytics and Big Data, holds a Bachelor's degree in Business Administration, supplemented by various academic courses. Experience encompasses advisory roles with a focus on Governance, Risk, and Compliance (GRC), internal audit, internal controls, SOX control, process mapping, documentary review, compliance, and risk and control identification. The expertise covers a range of industries, including agribusiness, consumer goods, technology, energy, steel, and environmental sectors.

Graduated from the Air Cadet Preparatory School (EPCAr) and subsequently from the Air Force Academy (AFA), followed by earning a Bachelor's degree in Administration from CEFET. Initiated a professional career as an intern and advanced to a role as a process analyst, utilizing tools such as Orquestra BPMS and Zeev BPMS to develop workflows, automate processes, and implement systems for clients. This position underscored the critical role of data in analyzing and enhancing sector performance, prompting further education in Data Analytics with an emphasis on Power BI. The drive to improve client services led to acquiring programming skills for tailored form creation. Transitioned to a data-focused role, leveraging extensive expertise with enterprise tools to lead projects, deliver Tableau training sessions, and create customized dashboards for clients.

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.

Data professional with extensive experience in participating in diverse data projects. Expertise includes Business Intelligence, KPI tracking, dashboard creation, and the development of metrics for monitoring newly developed products. Competencies include managing the entire product lifecycle from initial conception, focusing on data collection and availability, to the creation and visualization of metrics for daily monitoring.

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 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.