Crear una Cultura de Datos de Alta Calidad requiere que todos los profesionales tengan acceso integral a la información sobre sus datos. Esto incluye comprender cómo se recopilan, mantienen y acceden. Rudol le permite a todos los miembros de tu organización, sin importar su conocimiento técnico, el poder de comprender sus datos y participar en su calidad. De esta manera, los profesionales pueden confiar en sus datos y reducir la presión sobre los equipos técnicos, concentrándose en generar valor.

Data Products design and engineering. Guide a remote team of engineers to deliver data science models working with analysts and data scientists identifying and engineering features to enrich existing models or build new ones. Assist data analysts in the measurement plan definition and implementation. Help ML Engineers design and build the model training strategy and API implementation employing a user segmentation platform to conduct experiments and validate the increment’s impact. Partner with Product Management peers and other Engineer Managers to build the team roadmap aligned with the company goals.Data team management using SCRUM methodology. Team building and mentoring. Candidates interviews, technical challenges definition and talent selection.

Data analysis, cleaning, transformation and presentation. Discover patterns, tendencies and relations in data. Data visualization and storytelling. Help design analytics events in the user app. Measurement plan definition and execution. Metrics design and implementation. Execute and measure AB Testings with different data science models using power test and statistical hypothesis testing to validate impact. Results presentations with recommendations and insights. Define and build data access strategy. Design and build DataMarts for efficient data access and business metrics obtention. Design and code ETLs. Design and build dashboards. Collaborate with data scientists finding and testing new model features. Automate feature’s historical data generation for model training.Identify problems, quantify impact and help prioritize projects and initiatives based on quantitative analysis.Tools: Docker, Apache Airflow, Python, Pandas, Plotly, Seaborn, Numpy, Scikit Learn, Jupyter Notebook, Bitbucket, Git, Snowflake, SQL, PowerBI, Periscope, Amplitude, Rakam, AVO, AWS S3, MySQL, SignalFX.

Data requirements elicitation. Requirements analysis, design and build BI data models. ETLs design and implementation. Design and develop dashboards and reports for strategic, tactical and operative decision making. Use cases and test cases definition. Project management, plan and resource management. Tools: Qlik Sense, Microsoft SQL Server, Microsoft Integration Services, Microsoft Reporting Services, Informix.

Data requirements elicitation, BI solutions analysis and design. Data modeling using star model, snowflake model and single table. Develop and deploy ETLs and dashboards for decision making. Working for financial, agrochemical and biotechnology companies. Tools: Qlikview, Tableau, Teradata, Microsoft SQL Server, Microsoft Integration Services.