Klipfolio

Data Specialist with expertise in extracting valuable insights from complex datasets and transforming this data into dashboards to assist in strategic decision-making. Responsibilities include contributing to the development of new products, setting operational goals, and enhancing production efficiency. Additionally, duties involve conducting studies on projections and market competitiveness.

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.

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

Professional with six years of experience in Human Resources, encompassing roles in multinational companies across various sectors, including Retail, Wellness, and Finance. Held positions as an HR Business Partner and in Senior People Analytics, focusing on supporting HR leaders in data collection and analysis to inform business decisions and solutions.

Possesses extensive expertise in leveraging data-driven insights to formulate HR strategies, automate processes, enhance employee engagement, and optimize workforce performance through advanced analytics tools such as BI, Excel, and Python. Adept at utilizing these tools to address complex HR challenges.

A passionate advocate for fostering a data-informed and data-driven culture, with a commitment to having a positive organizational impact by standardizing descriptive, quantitative, and predictive analysis to support leadership.

Database professional with over seven years of experience specializing in database management and data analysis. Proficient in executing ETL processes to integrate new databases into analytical environments, devising SQL database queries, and performing environmental analyses to design robust data visualization report systems (BI). Demonstrates expertise in extracting large data volumes from clusters for report generation, facilitating client decision-making, and developing dashboards for monitoring purposes. Skilled in data modeling and adept in utilizing technologies such as PostgreSQL, BigQuery, Tableau, Power BI, Metabase, GitHub, Pentaho, Python, along with cloud platforms like GCP and AWS.

Paulo has six years of experience as a Machine Learning Engineer and two as a Backend Developer. His primary tech stack is Python, and he is proficient in machine learning algorithms, data analysis, and visualization.

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.

A postgraduate in Data Science and a Computer Engineering graduate, with substantial experience in the field, having contributed to both national and multinational companies within diverse sectors, including manufacturing, services, and the third sector. Specializes in data extraction, consolidation, processing, and ETL (Extract, Transform, Load), with a strong emphasis on fraud investigations and the identification of discrepancies and anomalies in collected data. Expertise in developing intuitive and insightful dashboards to enhance decision-making processes related to analyzed problems, supporting fraud resolution and compliance. Demonstrates proficiency in planning activities aimed at understanding departmental needs, proposing effective solutions, and developing ETLs on various data platforms while ensuring adherence to process compliance. Possesses strong skills in SQL, Tableau, Python, Power BI, SAP, Alteryx, and Oracle, and is well-versed in ITIL and Agile methodologies. Background includes drafting managerial reports, monitoring performance indicators, and providing strategic decision-making support. A team-oriented professional dedicated to achieving results, cost reduction, and is highly organized, responsible, and adaptable.