Lima Diaz

Processed and analyzed large volumes of financial data using Python, Pandas, NumPy, and SQL. Built data pipelines for extraction, cleaning, transformation, integration, and validation of information from multiple sources.

Developed automated Python processes for extraction, processing, transformation, and validation of clinical data from multiple sources. Built data processing workflows and implemented data quality control and validation processes.

Processed and transformed financial data to support modeling and analytical processes. Performed exploratory data analysis to identify patterns, inconsistencies, and relevant variables for modeling.

Managed and maintained a WordPress-based website. Organized and updated digital information and product catalogs, and provided support for the structure, functionality, and maintenance of the web platform.

Pursuing a Bachelor of Science in Scientific Computing, with coursework in data analysis, computational modeling, and machine learning.

Completed a technical degree in software programming, focusing on web application development and problem-solving through computational tools.