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Adriano NetoAN
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Adriano Neto

@adrianoneto

Analytics Engineer with 4 years in data intelligence—building dbt/SQL pipelines and dashboards to drive measurable outcomes.

Brazil
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I work in data for about 4 years across public and private sectors, focused on intelligence and data engineering. My Economics background gave me a strong quantitative foundation that I apply in practical, outcome-driven analytics.

In my current role, I lead analytics within the Technical Coordination of Data Intelligence (CTID) at the Municipal Transportation Department (SMTR) of the City of Rio de Janeiro. I analyze public transportation and urban mobility data with Python and SQL on BigQuery, and I build and maintain data pipelines using dbt models.

I also take ownership of reporting, documentation, and engineering practices—constructing analytical reports with Quarto and Markdown, versioning with Git/GitHub, and managing work through Kanban. I’ve delivered concrete results, including improving the success rate of trips from 70% to 96% and automating monitoring/classification across more than 7.8 million trips.

Earlier, I strengthened my BI and analytics delivery by developing and supporting dashboards (Looker Studio, Power BI, and Apache Superset) and integrating datamarts with PostgreSQL and Amazon Redshift. Across projects, I’ve focused on reducing bottlenecks—cutting data processing time from 4 hours to 15 minutes—and on building reliable, well-documented data flows.

Experience

Work history, roles, and key accomplishments

Rio de Janeiro City Hall logoRH
Current

Mid Analytics Engineer

Jul 2025 - Present (1 year)

Head of Analytics at the Technical Coordination of Data Intelligence (CTID) of the Municipal Transportation Department (SMTR), of the City of Rio de Janeiro.

- Analysis of public transportation and urban mobility data with Python and SQL (BigQuery);
- Presentation and sharing of transportation data results and evidence;
- Development and maintenance of data pipelines with ELT/ETL using dbt models

IplanRio logoIP
Current

Mid Analytics Engineer

Mar 2025 - Present (1 year 4 months)

Mid Analytics Engineer at IplanRio.

Rio de Janeiro City Hall logoRH

Mid Data Analyst

Mar 2025 - Jul 2025 (4 months)

Data Analyst at the Technical Coordination of Data Intelligence (CTID) of the Municipal Transportation Secretariat (SMTR), of the City of Rio de Janeiro.

- Analysis of public transportation and urban mobility data with Python and SQL (BigQuery);
- Presentation and sharing of transportation data results and evidence;
- Construction of analytical reports using Quarto and Markdown;
- Documentation o

Lean Saúde logoLS

Mid Data Analyst

Jul 2024 - Feb 2025 (7 months)

- EDA, extraction, manipulation and data viz using SQL, Python and R;
- Development and monitoring of KPIs;
- Development, maintenance, support and monitoring of dashboards usingLooker Studio, Power BI and Apache Superset;
- Cross-functional validation of business rules using mockups and flowcharts.
- Development and integration of datamarts with dashboards using PostgreSQL and Amazon RedShift;
-

LEPES | USP logoLU

Jr Data Analyst

Jul 2023 - Jul 2024 (1 year)

- EDA, data extraction, manipulation and visualization usingR, SQL, Python, Power Query and DAX;
- Technical reporting, logging and documentation of best practices with Rmarkdown, Word and Notion;
- Assisting with the collection and management of primary data;
- Data visualization using Power BI, R and Power Point;
- Creation of protocols for processing and monitoring data flows;
- Training on edu

LEPES | USP logoLU

Data Analytics Intern

Oct 2022 - Jul 2023 (9 months)

- Analysing, extracting, manipulating and visualising data using R, Python, SQL and Excel;
- Documenting processes and procedures;
- Helping to collect, monitor and manage data using Form Return, Cloud Forms and Google Sheets;
- Building interactive panels in Power BI;
- Creating data process logs.

CNPq logoCN

Data & Research Assistant

Feb 2022 - Apr 2023 (1 year 2 months)

Bolsista voluntário no grupo de estudos e pesquisa em economia da saúde (GEPES).

- Manipulação de dados e estruturação de tabelas, planilhas e indicadores de negócio;
- Visualização de dados em R, Excel, GEODA e QGIS;
- Documentação de dados com foco em pesquisa na área de saúde da família.

FC

R Data Analysis Monitor

Federal University of Ceará

Apr 2021 - Dec 2022 (1 year 8 months)

Monitor for R data analysis and manipulation, delivering video lessons and supporting weekly sessions on data analysis concepts. Worked with R tooling including dplyr, ggplot2, caret, tidyverse, knitr, stringr, and lubridate, and translated course materials from English into Portuguese.

Federal University of Ceará logoFC

Monitor for data analysis and manipulation in R

Apr 2021 - Dec 2022 (1 year 8 months)

- Data analysis, manipulation and visualization in R (dplyr, ggplot2, caret, tidyverse, knitr, stringr and lubridate);
- Production of video lessons on concepts of analysis, manipulation, visualization and data science applied to economics and finance;
- Conducting weekly meetings to solve auxiliary materials on data analysis;
- Production of a programming course in R language for data analysis;
-

Federal University of Ceará logoFC

Economectrics I Monitor

Mar 2022 - Oct 2022 (7 months)

- Produced video lessons on econometric concepts, causal inference, cross-sectional data, and multiple linear regression, logit, and Tobit models. I also prepared materials with solutions to quizzes and questions.
- I held weekly meetings to solve exercises.
- I authored and co-authored two academic articles: "Socioeconomic determinants of extreme poverty in Ceará" and "Economic freedom and econom

Federal University of Ceará logoFC

Principles of Economics Monitor

May 2021 - Feb 2022 (9 months)

- Production of video lessons on the concepts of the subjects and preparation of materials with quiz solutions and clarification of doubts;
- Weekly meetings to solve exercise materials;
- Writing of scientific articles: Impact of Remote Teaching in Higher Education at the Sobral Campus;
- Presentation of a scientific article at the XXX Teaching Initiation Meeting (PROGRAD).

Education

Degrees, certifications, and relevant coursework

UU

Universidade Federal do Ceará (UFC)

Bachelor's, Economics

2019 - 2023

Awarded with the academic distinction: Magna Cum Laude
Theme of the dissertation: ANALYSIS OF THE SPATIAL CONVERGENCE OF THE AGRICULTURAL SECTOR OF THE MUNICIPALITIES OF THE STATE OF CEARÁ
Advisor: Professor Fernando Daniel de Oliveira Mayorga

UA

Universidade Estadual do Vale do Acaraú

Bachelor's, Geography

2018 - 2019

Transferência para Economia - UFC.

UU

Universidade Federal do Ceará (UFC)

Bacharelado, Engenheria da Computação

Graduação interrompida.

CI

Colégio Ipuense

Ensino Médio

2013 - 2015

Federal University of Ceará (UFC) logoFU

Federal University of Ceará (UFC)

Bachelor's degree, Computer Engineering

2017 -

Enrollment in Computer Engineering was interrupted after starting in 2017.

Federal University of Ceará (UFC) logoFU

Federal University of Ceará (UFC)

Bachelor's degree, Economics

2019 - 2023

Bachelor's degree in Economics with Magna Cum Laude distinction. Dissertation analyzed the spatial convergence of the agricultural sector across municipalities in Ceará, advised by Prof. Fernando Daniel de Oliveira Mayorga.

SA

State University of Vale do Acaraú

Bachelor's degree, Geography

2018 - 2019

Completed a Bachelor’s program in Geography before transferring to Economics at UFC.

CI

Colégio Ipuense

High school diploma, General Education

2013 - 2015

Completed high school education (Ensino Médio).

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