Heap Analytics

Specializing in developing robust solutions with Python, expertise is evident in frameworks such as Flask, FastAPI, and Django, alongside comprehensive skills in database management systems like MongoDB, MariaDB, PostgreSQL, and DB2. Proficiency in Docker and Kubernetes for containerization technologies and experience on the OpenShift platform enhances the ability to efficiently manage container applications, incorporating robust continuous integration and delivery (CI/CD).

With an academic background in Electrical Engineering from the University of Araraquara and ongoing studies in Data Science at UNIVESP, the skillset includes the application of Continuous Integration (CI) and Continuous Delivery (CD) practices using Jenkins for workflow automation. There is significant competency in inter-service communication through RabbitMQ and extensive experience with data ETL processes utilizing IBM DataStage.

Involvement in Artificial Intelligence and Machine Learning projects demonstrates the use of libraries such as numpy, pandas, and sklearn, as well as frameworks including TensorFlow, Keras, Yolo, OpenCV, Tesseract, and Paddle to develop innovative data-driven solutions. Additionally, translating complex insights into accessible information involves creating interactive dashboards with Tableau and Power BI to facilitate data-based decision-making.

A technology innovation enthusiast with a passion for new challenges, this professional aims to apply advanced technical knowledge and collaborate with teams to drive success in transformative projects.

A Data Analyst driven by a passion for data and statistics, consistently seeking to embrace new challenges and innovative solutions. Demonstrates robust competencies in teamwork, excellence, structured thinking, and career development. Exhibits a collaborative work ethic, coupled with adept decision-making and problem-solving capabilities. Possesses strong planning and organizational skills, along with a continuous pursuit of innovation.

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.

Yasmin Huvos, a 25-year-old professional from Brazil, is currently a Data Analyst. Her passion for collaborating with diverse individuals and cultures drives her work. She finds motivation in learning from challenges and consistently seeks opportunities for growth and development in her field.

Data Analyst and Data Scientist with a focus on analytical, strategic, adaptive, and innovative approaches. Extensive experience encompasses data manipulation and analysis, data visualization, indicator management, and A/B testing. Dedicated to the fields of Data Science, Analytics, and Business Intelligence. Academic credentials include a technical degree in Electronics from Escola Técnica Pandiá Calógeras, a degree in Mechanical Engineering from Universidade Federal Fluminense, and postgraduate qualifications in Analytics and Business Intelligence from Pontifícia Universidade Católica de Minas Gerais. Additional training in Data Science and Machine Learning has been undertaken through Tera. Demonstrates proficiency in SQL, PySpark, Databricks, Power BI, Tableau, and Excel, alongside advanced English language skills.

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.

Data Analyst with two years of experience specializing in data cleaning, dashboard construction, and operational results analysis for delivery personnel. Currently enhancing skills in data analysis using Python through advanced coursework. Practical training includes ongoing courses in data analytics. Demonstrates proficiency in SQL and Tableau for daily data analytics tasks. Resides in Osasco - SP with one child.

An experienced Analyst and Developer specializing in the design and implementation of workflows for efficient data collection and management.