Adept Data Engineer with a proven track record at Banco Solidario de Bolivia, enhancing data-driven decision-making through the design of robust data pipelines and models. Excelled in problem-solving and significantly improved data-driven credit approval processes. Proficient in SQL and Python, I thrive in fast-paced environments and have a strong ability to multitask, driving impactful financial strategies.
One of my responsibilities is to gather information to support the Bank and create new tables with all the data requested by the Data Science team. These tables are then used to train machine learning models to identify the most probable clients for credit approval and to detect clients likely to default, both before and after it happens.
The two most important tasks were analyzing financial and operational data to identify trends for improvement and monitoring KPIs to evaluate the effectiveness of existing and proposed strategies for the Bank. I also worked as a Full Stack Developer on a web app that helps the bank monitor the status and performance of all financial credits.
"Ensured camper safety and well-being by conducting daily health checks and promptly addressing any medical needs. Contributed to a positive camp environment by maintaining high energy levels, enthusiasm, and a friendly demeanor in all daily interactions.
Evaluated new cybersecurity tools and technologies to ensure the organization stayed current with industry best practices. Analyzed system logs for suspicious activity, identifying potential threats before they could cause damage.
ETL development
Data Pipeline Design
Data Modeling
Data Warehousing
SQL Expertise
Data Security
NoSQL Databases
Hadoop Ecosystem
Data Governance
SQL and Databases
Problem-solving abilities
Multitasking
Multitasking Abilities
Python Programming
Front-End Development
JavaScript experience
UX architecture
Design thinking