Paulo Octavio de Paula

Migrated 40+ legacy on‑premise data pipelines to Azure Cloud environment, decreasing execution time and eliminating the need for manual execution. Orchestrated the seamless migration of 70+ tables from PostgreSQL to SQL Server, leveraging Python/Data Factory. Successfully implemented a backend migration for an application, using Python, SQL, and Azure Functions to ensure a smooth transition. Automated formerly manual business processes by implementing Pyspark data pipelines, leading to time savings.

Full‑time Paid Internship Deployed and analyzed experiments (A/B tests) to redefine the credit granting strategy, leading to an approximate 2.5% reduction in loan default rates. Developed financial dashboards in Power BI for C‑level stakeholders to enable quick and clear monitoring of financial results as well as identification of potential business issues. Collaborated to the development and documentation of a Demand Forecast solution to avoid over/understocking and improve supplychain efficiency.

• Full‑time Paid Internship • Developed Python and SQL ETLs to ingest data from an external API to the Data Lake. • Built a streaming ingestion pipeline to automate data ingestion and make customer events data available to business users using Amazon MQ and DynamoDB Stream to provision infrastructure resources. • Collected more than 100 GB of data via web scraping and stored it on the cloud (S3) for use in rebuilding the company’s PLM system.

• Full‑time Paid Internship • Researched and developed from scratch an NLP‑based solution to classify customer reviews, which saved approx. 1000 hours of manual labor monthly. • Deployed data pipeline to collect data and perform Sentiment Analysis on more than 5000 customer reviews monthly. • Trained and organized an enterprise‑wide data labeling workforce to label +2000 customer reviews used to train Machine Learning models.

• Full‑time Paid Internship • Optimized the company's legacy CRM system, streamlining daily tasks and significantly reducing operator workload • Designed complex Microsoft SQL Server queries to efficiently perform CRUD operations • Collaborated with business users, conducting in-depth interviews to identify and understand product requirements and pain points

Exchange Program in Data Science.