• Developed predictive models for credit risk assessment and customer scoring.• Engineered automated credit audit algorithms.• Designed and implemented APIs for dynamic reporting systems.• Created interactive dashboards focusing on collection metrics.• Optimized database structures and queries for customer data management.• Developed scalable web applications for user data collection.

• Achieved over R$1M in operational savings through telemetry pipeline construction. • Engineered ML functions for contract optimization and predictive maintenance. • Implemented event-driven architecture for real-time vehicle data processing. • Optimized SQL for complex data analysis (subqueries, joins, and stored procedures).• Developed ML models for recommendation systems and time series analysis. • Created PowerBI dashboards with customized data models and transformations. • Designed web scraping tools using reverse engineering techniques. • Automated data processes and operational workflows across multiple platforms. • Applied string matching, regex, and NLP techniques to optimize data parsing. • Orchestrated ETL workflows, focusing on data processing efficiency.Key Skills:SQL, PowerBI, Python, Scikit-Learn, PyTorch, NLTK, Apache Airflow, PySpark, Selenium, PowerShell, VBA, Power Automate, Regex, Azure, AWS, Kafka, APIs, Databricks.

• Created dynamic dashboards for real-time system monitoring. • Developed AI-powered chatbot with NLU capabilities. • Implemented fault-tolerant cloud architecture for data services. • Engineered voice-enabled interface for user interactions. • Built scalable data retrieval system with optimized queries. • Designed data quality monitoring and cleansing processes. • Developed real-time analytics pipelines for streaming data. • Created predictive models for churn and revenue forecasting. • Implemented data governance and security measures. • Optimized data warehouse schemas for improved analytics.Key Skills:D3.js, TensorFlow, AWS, Google Cloud Speech-to-Text, Golang, Apache Spark, Kafka, XGBoost, BigQuery, IAM, KMS, ETL, NLP, Machine Learning, Data Warehousing

• Monitored public opinion dynamics through data analysis and information management. • Developed processes for case study data collection and management in public policy. • Applied R and Python for insights extraction from complex political datasets. • Interpreted public policy data to support decision-making processes. • Conducted data-driven research on local and regional political landscapes.