Adriano Dantas

Design, build, and deploy Autonomous Agent teams (multi-agent systems) to automate recurring workflows. Deliver GenAI/LLM solutions end-to-end, including RAG with chunking, document ingestion, indexing, vector search, hybrid search, retrieval, reranking, and LLM evaluation.

Optimize prompt engineering and implement guardrails for hallucination mitigation, prompt-injection defense, PII redaction, and policy enforcement. Expose AI capabilities via FastAPI and operate them in production with LLMOps/MLOps practices: CI/CD, Docker, Git, testing, versioning, monitoring, observability, governance, and incident response.

Support to Football and Marketing sectors. Manage data projects and platform implementation. Develop and maintain high-performance OLAP environments. Implement and optimize SQL Server Data Warehouses. Create ETL processes using Apache Airflow. Develop analytical cubes for diagnostic and predictive capabilities.

Build Dev Ops pipelines for automation. Lead development of OLAP environments and Data Lakehouse solutions. Prepare AI platforms and vector databases for GenAI applications. Deliver strategic reports for the football sector. Manage Snowflake Data Lakehouse environments and Power BI Service platforms.

Strategic data treatment and generation of descriptive, prescriptive, and predictive insights. CRM support for Marketing, generating reports in Power BI and Python. Developed recommendation algorithms in Python using Scikit-learn. Managed E-mail Marketing strategies with A/B and S/N testing. Implemented churn reduction strategies using predictive models.

Created RFV customer categories using DBScan and Kmeans clustering. Generated LTV reports. Created dashboards using GA4, Google Analytics, and Supermetrics with Power BI.

Requirement gathering and solution study for operational improvement. Data treatment and modeling for the distribution center. Opportunity study for the fractional area. Utilized WMS, SQL Server, Python, Power BI, and Excel. Provided insights, indicators, and dashboards.

Created apps to assist Eco and Quality processes. Migrated e-commerce reports to AWS cloud data. Created product classification model for logistics. Time series analysis for pattern discovery. Created ETL automations using procedures for CD indicators.

Requirement gathering and dashboard development using Power BI Services. Used SQL DB2 database. Created purchase recommendation strategies and basket analysis with Python and Power BI. Managed promotions and spreadsheets using Google Sheets and Excel. Developed corporate data platform using Microsoft Power BI Services for strategic support to Operations, HR, Purchasing, DP, and Store Front.

Report generation and results analysis for the HR sector and subsequently the Purchasing sector. Administrative support.