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Master of Applied Data Science

Master of Engineering - Double Degree with PUC-Rio

Bachelor in Control and Automation Engineering, Minor in Mathematics

Data Analyst

• Develop an all-encompassing PowerBI dashboard for proactively identifying performance deviations in 50+ AI workloads running on Intel's Ponte Vecchio GPU across single-card, multi-card, and multi-node configurations.
• Design a PoC using GPT-4 and Llama-Index to ingest and associate unstructured customer engagement updates from disparate sources (e.g., PowerPoint, JIRA, Excel) into a single PowerBI based reporting for several high priority, high visibility engagements

Data Engineer

• Orchestrated design of 600GB Data Lake on AWS through S3, Glue, Lambda, and Step Functions; published to AWS Blog Brazil.
• Ingested over 100GB of data from 8 different on-premises and cloud-based servers into Data Lake via Data Migration Service and ETL jobs.
• Defined and deployed Data Warehouse (50GB) components and architecture on AWS applying tools such as S3 for storage, Spark for processing, and Athena for analytics.

Data Scientist

• Engineered Machine Learning model with 71% f1-score to reduce churn from 6 million user cybersecurity app; deployed model in AWS utilizing EMR Clusters with Spark for data preprocessing, EC2 instance for ML inference, and Data Pipeline for ETL.
• Guided a team of 4 in creating a Churn Predictive Model (LSTM network) with 72% precision and 83% recall for telecom company; leveraged statistical analytics techniques to analyze customer churn patterns against 10 key metrics.
• Spearheaded a team of 3 in constructing a system aiding 20+ companies in controlling COVID-19 spread for 3,000 employees; implemented event-driven architecture on AWS employing Infrastructure as Code and Lambda, SQS, SNS, API Gateway, and RDS.
• Collaborated with 2 members to construct an XGBoost model with 77% f1-score to maximize customers' revenue.

Data Scientist

• Built Node.js back-end service generating up to 10 insights er minute from Computer Vision Model; increased 100 establishments' decision-making productivity by 20 hours/month.
• Integrated and deployed microservice with GraphQL and Docker.

Embedded Software Engineer

• Presented reports to firmware team to validate sensor's effectiveness against 2 KPIs.
• Created firmware module in C/C++ embedded in a microcontroller for a robot's inductive sensor (LDC1312/4).