Rodrigo Sánchez Martín

- Engineered behavioral features and business-oriented cluster profiling to translate model output into actionable user segments for engagement, retention, and personalization strategies using K-means and other models approach. - Developed and coordinate custom skills and agents in Databricks Genie Code, including a skill that automates extraction of core event metrics (page views, engagement time, reach, returning/acquired users) from Databricks notebooks - Collaborate cross-functionally to translate c

- Built an automated SQL-based system that scans the entire database for bad practices — outdated statistics, invalid objects, missing partitions, non-performant queries — and automatically sends tailored reports to each department - Optimization of data processes and generation of reports using Oracle SQL and ODI. - Responsible for monitoring and managing the space used by the database, as well as analyzing and tracking actions to ensure efficient storage. - Responsible for night shifts scheduling and tra

- Daily support tasks with Hadoop components such as HDFS, Spark, HUE, Hive and Impala. - Process automation and daily batch monitoring through Control M. - Resolution of incidents reported in Jira by user in the data - Analyzing and monitoring actions to guarantee efficient storage

• Collaborating in the creation of a Python tool to combine different Machine Learning algorithms • Time series analysis to find the optimal model for different scenarios • Tests for different time horizons and data granularity

• Use of databases for customer acquisition and management in the digital Education area • Administration, business and marketing tasks

• Financial control in the food department • Accounting tasks and preparation of reports