Hi, my name is José, but you can also call me Joe, Joey, Pepe, Cheo, or Raúl. I am based out of Northern Virginia and I specialize in data platform, data science, and BI solutions.
My family consists of my lovely wife, my daughter, and our calico cat. In my spare time I work on learning new coding skills and data tools. I unwind by dancing salsa, playing board games, and reading manga.
Please see below for more on my professional interests.
Most of my projects require the creation of new data layers to plug into reporting and advanced analytic infrastructures. Hence, I often design and implement ETL applications that result in structured relational databases, typically following a star or snowflake schema model. Through my work I have learned several T-SQL and PL/SQL flavors, working with platforms in cluding Spark/Hive, Databricks, Microsoft SQL Server, MySQL, Oracle ADW, and Snowflake SQL. I have also developed full ETL pipeline applications using Docker, Kubernetes, and Python.
I am experienced with regression models, including linear, polynomial, support vectors, and decision trees/random forests. I also have experience with classification and clustering algorithms, primarily on K-Nearest Neighbor and Naive Bayes. I have delved into the NLP/LLM space, specializing on LDA and HDP topic clustering models. I can implement machine learning code in both python and R, with more expertise on the former.
I have generated numerous reports, metrics, and key insights across diverse industries, including retail, healthcare, and cloud computing. I quickly adapt to most reporting infrastructures, having strong expertise in Power BI, AWS QuickSight, Excel PowerPivot, Oracle Analytics Cloud (OAC, formerly known as OBIEE), and Tableau.
I am familiar with novel practices of machine learning and data operations. From testing of code and CI/CD pipelines to implementing robust Infrastucture as Code (IAC) frameworks in Terraform, I am confident in building and modernizing platforms for scalability, effectiveness, and high availability.