Data Scientist · Researcher in the making

I turn data into decisions and business value.

I work across the full data science stack: business intelligence, machine learning, generative AI and analytics for operations in different sectors, from logistics to marketing and healthcare. My foundation is in Mathematics and, as a second track, I am building a path toward applied research.

Adriel Martins Moreira
6+
years in data science
4
sectors served
Statistics + ML
predictive modeling
7
academic programs
About

Data Scientist with a strategy and research mindset.

Adriel Martins Moreira

I turn data into intelligence to support decision-making and generate value, combining Business Intelligence, Analytics, Machine Learning and Strategic Planning.

I have delivered solutions across logistics, marketing, retail and healthcare: from executive dashboards and control towers to predictive models and generative AI tools. It is end-to-end data science, applicable to any data-driven business.

Today I work with strategic planning in healthcare, but my work is not limited to a single sector. My background blends Mathematics, Data Science and management, and I keep building an academic base geared toward applied research.

PythonSQLMachine LearningETL / ELTPower BILookerDashBigQueryOracleDBPostgreSQLPySparkLangChainOpenAIStatistics

Languages Portuguese (native) · English (intermediate) · Spanish (basic)

Work

Where data science becomes clarity to decide.

Business Intelligence

Executive dashboards, control towers and corporate KPIs in Power BI, Looker and Dash to monitor operations in real time.

Predictive Modeling

Forecasting, process optimization and Machine Learning models applied to operations across different sectors.

Generative AI

Solutions with LLMs (LangChain, OpenAI) to query data in natural language, including an operational tool via WhatsApp.

Healthcare Analytics

Regulatory indicators (IDSS, NIPs, ANS), epidemiological profile and population health, with segmentation and follow-up.

Experience

From BI to data-driven strategy.

Adriel with a laptop
since Mar 2026

Data Scientist · Strategic Planning

Geap Autogestão em Saúde, On-site, Brasília/DF, Brazil
  • Monitoring of strategic and regulatory indicators (IDSS, NIPs and ANS)
  • Executive dashboards and tracking of corporate KPIs
  • Organizational performance analysis and strategic action plans
  • Prescriptive statistical modeling for process optimization and decision-making
  • Epidemiological profile, population health and vaccination segmentation
Feb 2024 to Jan 2026

Data Scientist · Innovation Coordinator

HXtos Inteligência Logística, Hybrid, Port of Santos/SP, Brazil
  • Technical coordination of data science for port operations
  • Generative AI solutions (LLMs) using LangChain and OpenAI
  • Real-time operational data queries via WhatsApp
  • Control tower for monitoring logistics operations
  • Forecasting and process optimization with Machine Learning and OracleDB
Apr 2023 to Jan 2024

Business Intelligence (BI) Coordinator

Grão de Gente, Hybrid, Santos/SP, Brazil
  • BI for Marketing, Finance, Logistics and Technology
  • Strategic dashboards and reports to support decision-making
  • Strengthening the data-driven culture in the organization
  • Python, R, PostgreSQL, BigQuery, Looker and Power BI
Dec 2022 to Apr 2023

Business Intelligence (BI) Analyst

Razer Inc., On-site, Santos/SP, Brazil
  • Process automation and analysis with Python
  • Interactive dashboards in Power BI
  • ETL flows with Alteryx and SQL Server
Research & Education

An academic foundation in progress, geared toward research.

As a second track, I am building a research path. The idea is to deepen applied mathematical methods, modeling and analytics, with application to real problems across different domains. I keep building this base, from a Mathematics teaching degree to specializations in applied methods and management.

Complementary courses
  • AI & LLMs: LangChain, OpenAI and Hugging Face (2024)
  • Machine Learning & Data Science with Python (2023)
  • Data Engineering with PySpark: ETL and pipelines (2023)
  • BI & Visualization: Power BI, Looker and Dash (2023)
  • Databases & Advanced SQL (2023)
  • Statistics with Python: Correlation and Regression, Alura (2023)
Contact

Let's turn data into decisions, or talk about research?

Open to projects, partnerships and opportunities in data science, as well as research collaborations. Reach out via the form or the channels below.

Provide at least one contact: email or phone.