Emiliano has over ten years of experience as a Data Analyst across diverse industries, including finance, telecommunications, and gaming.

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.

Specialist in BI/Analytics projects with extensive experience in SQL across various platforms, including SQL Server, PostgreSQL, BigQuery, and MySQL. Proficient in Power BI, utilizing M for data modeling and DAX for advanced function creation. Certified as a Tableau Business Intelligence Analyst, with expertise in Tableau Desktop and Looker Data Studio. Currently focusing on Software Engineering, with a particular interest in data visualization using D3.js.

Career spans 24 years specializing in Acquiring, Payment Methods, Banking, and Card sectors, with in-depth experience in Data and Analytics, Operational Control, BackOffice, Financial Operations Control, and Risk Analysis, particularly Chargeback management. Proven ability to foster partnerships and relationships by facilitating the open exchange of ideas and opinions to drive business development. Prioritized the expansion of business knowledge by mastering, executing, and enhancing processes, reducing financial losses, conducting systemic simulations, implementing automations, and preparing and analyzing data to inform decision-making. Provided consistent support to partner areas to streamline operations and optimize financial performance.

A data engineer and business intelligence analyst with over four years of experience in the industry. Gained foundational knowledge through academic pursuits and further honed technical skills through additional coursework, lectures, and the completion of personal projects. Demonstrates proficiency in programming languages including Python, R, Scala, and Java, and possesses a thorough understanding of machine learning techniques and statistical modeling. Skilled in data visualization tools such as Power BI and Tableau, with extensive experience in ETL processes, big data technologies like Spark and Hadoop, and cloud platforms including Azure, AWS, and GCP. Adept in managing both SQL and NoSQL databases.

Nicolas is a Data Analyst with five years of experience. He excels in constructing data pipelines using Databricks Lakehouse and is proficient in SQL, Python, Power BI, Snowflake, Looker, and Tableau.

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 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/).

Yellowfin BI is a business intelligence and analytics platform that enables organizations to create, manage, and share reports and dashboards. It provides tools for data visualization, data discovery, and collaborative decision-making, helping businesses gain insights from their data to drive informed decisions.

A Yellowfin BI expert must have skills in data visualization, report creation, and dashboard design. Proficiency in SQL for querying databases is essential. Familiarity with data integration and ETL processes is important. Knowledge of Yellowfin's scripting and API functionalities can enhance customization and automation capabilities.

How to hire a Yellowfin Bi expert

Yellowfin BI was created in 2003 to address the need for a user-friendly business intelligence and analytics platform. It aimed to simplify data analysis and reporting processes, making it accessible for non-technical users while providing robust tools for data visualization and collaboration.

About Yellowfin Bi

Strengths of Yellowfin BI include its user-friendly interface, strong data visualization capabilities, and collaborative features. Weaknesses may involve limited advanced analytics compared to some competitors and potential performance issues with very large datasets. Competitors include Tableau, Power BI, Qlik Sense, and Looker.

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