A seasoned professional with over a decade of expertise in Procurement, Supply Chain, Purchasing, and Logistics, specializing in problem-solving and data analysis, this candidate demonstrates significant proficiency in areas such as Materials Planning and Inventory Management. With a robust skill set in Purchasing processes, Supplier Assessment, and KPI reporting, the individual has successfully implemented key projects that enhanced operational efficiency, including the restructuring of reporting protocols for federal compliance and the establishment of a Transportation Control Tower project aimed at cost reduction. The candidate possesses advanced knowledge of relevant software tools including SAP ECC MM and SD, Power BI, and SQL, bolstered by a solid educational background in Logistics and Port Management. Expertise in Lean and Six Sigma methodologies further underscores a commitment to continuous improvement and optimal resource utilization.

An experienced Senior Data Engineer with expertise in designing and implementing scalable and reliable data systems and pipelines, leveraging a background that includes significant collaboration with Data Science teams to deliver robust insights and solutions. Demonstrates proficiency in Python, SQL, and Big Query, alongside data visualization and reporting tools such as Metabase, Looker Studio, and Power BI. Promoted a data-driven culture using the CRISP-DM methodology to enhance products and processes.

As the founder of a data analytics enterprise, offered innovative solutions in data analytics and sales forecasting utilizing Python, Deta Space, and FastAPI. Expertise encompassed data extraction, advanced analytics, and machine learning algorithms, assisting businesses in making informed decisions, optimizing operational efficiency, and boosting sales. Delivered customized recommendations improving customer loyalty and shopping experience, driven by a passion for creating value and impact through data. Consistently engaged in tackling new challenges and acquiring new skills.

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/).

Nicolas has worked for ten years as a systems engineer in server administration, SRE, and DevOps roles. The last few years have given him the opportunity to work with sophisticated cloud infrastructure, including automation and security.

A data analysis professional with a degree in Data Science and ongoing postgraduate studies in Artificial Intelligence, possessing extensive knowledge in programming languages such as Python, SQL, and R. Experienced in developing innovative solutions utilizing relational and NoSQL database systems like PostgreSQL, MySQL, and MongoDB. Proficient in data visualization tools such as PowerBI and Tableau, with a strong focus on Machine Learning, Natural Language Processing, and AI applications to enhance process optimization and data-driven decision-making. Demonstrates analytical and creative skills in integrating and automating processes, alongside experience in building machine learning models and ensuring data integrity through collaboration with compliance teams.

Data Management Professional with over six years of experience in implementing business intelligence solutions, specializing in project conception and strategic indicator mapping. Expertise includes technical development with Power BI and the dissemination of knowledge through company-wide lectures and educational sessions.

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

Professional with extensive experience in Performance, Strategy, Business Excellence, and Data across diverse sectors, including national and multinational companies, startups, and NGOs. Specialized in overseeing strategic and multifunctional projects through various stages, from data collection and processing to reporting and the creation of intelligent dashboards. Expertise includes process management and governance, PowerBI, and Digital Transformation Project Management. Proficient in SQL, T-SQL, SSIS, SSAS, Apache Spark (Databricks), IBM Cognos, Tableau, and Azure, with substantial experience in GCP cloud services, Azure, and AWS. Competent in employing Airflow and adept in both agile and traditional project management methodologies. Experienced in developing data ingestion APIs utilizing REST, SOAP, HTTP, FTP, and SFTP. Proven track record as a team leader and manager, with a notable history of executing Machine Learning projects using Python.

Sisense is a business intelligence platform that enables users to analyze and visualize complex data from multiple sources. It provides tools for data integration, dashboard creation, and advanced analytics, allowing businesses to gain insights and make data-driven decisions.

A Sisense expert must have strong skills in data integration, ETL processes, SQL, and dashboard design. Proficiency in using Sisense's Elasticube Manager and knowledge of JavaScript for custom widget creation are also essential.

How to hire a Sisense expert

Sisense was created in 2004 to address the need for efficient data analysis and visualization solutions. Over time, it evolved to become a comprehensive business intelligence platform, integrating data from various sources and offering advanced analytics capabilities to help businesses make informed decisions.

About Sisense

Strengths of Sisense include its powerful data integration capabilities, user-friendly interface, and robust analytics features. Weaknesses may involve high costs for smaller businesses and potential complexity in initial setup. Competitors include 

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About Sisense

How to hire a Sisense expert

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