Lucas Paiolla
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Lucas Paiolla Email & Phone Number

Software Engineer II at Uber
Location: Santo André, São Paulo, Brazil 9 work roles 3 schools
1 work email found @bigdata.inf.br LinkedIn matched
✓ Verified May 2026 4 data sources Profile completeness 86%

Contact Signals · 1 work email

Work email l****@bigdata.inf.br
LinkedIn Profile matched
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Current company
Role
Software Engineer II
Location
Santo André, São Paulo, Brazil
Company size

Who is Lucas Paiolla? Overview

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Quick answer

Lucas Paiolla is listed as Software Engineer II at Uber, a company with 125643 employees, based in Santo André, São Paulo, Brazil. AeroLeads shows a work email signal at bigdata.inf.br and a matched LinkedIn profile for Lucas Paiolla.

Lucas Paiolla previously worked as Software Engineer II at Big Data and Data Scientist I at Big Data. Lucas Paiolla holds Bachelor In Computer Science, Computer Theory And Artificial Intelligence from Instituto De Matemática E Estatística - Universidade De São Paulo (Ime-Usp).

Company email context

Email format at Uber

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{first}.{last}@bigdata.inf.br
86% confidence

AeroLeads found 1 current-domain work email signal for Lucas Paiolla. Compare company email patterns before reaching out.

Profile bio

About Lucas Paiolla

Studying Computer Science at the Institute of Mathematics and Statistics of the University of São Paulo.Always looking for new knowledge, especially in Data Science and Artificial Intelligence.I'm currently taking an online Data Science specialization by the University of Michigan on Coursera. I except to learn a lot of things this year to push me into the Data Science career.

Current workplace

Lucas Paiolla's current company

Company context helps verify the profile and gives searchers a useful next step.

Uber
Uber
Software Engineer II
Santo André, SP, BR
Website
Employees
125643
AeroLeads page
9 roles

Lucas Paiolla work experience

A career timeline built from the work history available for this profile.

Software Engineer Ii

Santo André, SP, BR

Software Engineer Ii

Current

Brazil

- Inside the Engineering Team, refactored and developed the backbone of our company's data pipeline using Apache AirFlow, Dask, AWS S3, Docker, ElasticSearch, following the best programming practices;- Developed an experimentation framework to allow for multi-branching execution in AirFlow to allow Data Scientists to experiment multiple ideas in different.

Feb 2024 - Present

Data Scientist I

Brazil

- Developed time series and regression models used to predict customer's demand using Python tools like Pandas, Numpy, SKLearn, and SciPy; using PostgreSQL as the database; and using developing tools like Docker, Git/GitLab. In this project, I also created the CI/CD, implemented the GitFlow methodology inside the team, and proposed the use of several clean.

Aug 2023 - Feb 2024

Data Science Intern

São Paulo, São Paulo, Brazil

- I worked forecasting sales using regression models, developed data pipelines using technologies like Docker, AWS, AirFlow and PostgreSQL. Also, participated on the experiment's team developing an app for sampling, creating pipeline experiments like A/B testing and validating those experiments.

Jan 2022 - Sep 2023

Data Science Content Creator

São Paulo, Brazil

League member and Study GT (Grupo de Trabalho - Work Group) Leader.- Participation on Data Science competitions;- Organization of collective studies on Coursera Courses;- Production of data science content on YouTube: https://tinyurl.com/beedatachannel.

Mar 2021 - Feb 2022

Academic Tutor

São Paulo, São Paulo, Brazil

Students tutor of the subject MAC0323 - Algoritmos e Estruturas de Dados I (Algorithms and Data Structures I) at the Institute of Mathematics and Statistics of the University of Sao Paulo.

Aug 2021 - Jan 2022

Academic Tutor

São Paulo, São Paulo, Brazil

Students tutor of the subject MAC0323 - Algoritmos e Estruturas de Dados II (Algorithms and Data Structures II) at the Institute of Mathematics and Statistics of the University of Sao Paulo.

Apr 2021 - Jul 2021

Academic Tutor

São Paulo, São Paulo, Brazil

Students tutor of the subject MAC0329 - Álgebra Booleana e Aplicações (Boolean Algebra and Applications) at the Institute of Mathematics and Statistics of the University of Sao Paulo.

Mar 2020 - Jul 2020

Academic Tutor

Faculdade De Tecnologia Termomecanica

São Bernardo Do Campo, São Paulo, Brazil

Students tutor of the subject Cálculo Diferencial e Integral I (Calculus I) at the Faculdade de Tecnologia Termomecanica.

Sep 2017 - Nov 2017
Team & coworkers

Colleagues at Uber

Other employees you can reach at uber.com. View company contacts for 125643 employees →

3 education records

Lucas Paiolla education

Engineer'S Degree, Computer Engineering

Faculdade De Tecnologia Termomecanica

- Academic Tutor of Cálculo I (Calculus I) through the second semester; - Dropped the graduation after two years to ingress in the.

High School Diploma

Colégio Objetivo Senador Flaquer
FAQ

Frequently asked questions about Lucas Paiolla

Quick answers generated from the profile data available on this page.

What company does Lucas Paiolla work for?

Lucas Paiolla works for Uber.

What is Lucas Paiolla's role at Uber?

Lucas Paiolla is listed as Software Engineer II at Uber.

What is Lucas Paiolla's email address?

AeroLeads has found 1 work email signal at @bigdata.inf.br for Lucas Paiolla at Uber.

Where is Lucas Paiolla based?

Lucas Paiolla is based in Santo André, São Paulo, Brazil while working with Uber.

What companies has Lucas Paiolla worked for?

Lucas Paiolla has worked for Uber, Big Data, Beedata, Universidade De São Paulo, and Faculdade De Tecnologia Termomecanica.

Who are Lucas Paiolla's colleagues at Uber?

Lucas Paiolla's colleagues at Uber include Lucien O., Isa Laguana, Igor Loreto, Joalison Rodrigues, and Keynan Donchyk.

How can I contact Lucas Paiolla?

You can use AeroLeads to view verified contact signals for Lucas Paiolla at Uber, including work email, phone, and LinkedIn data when available.

What schools did Lucas Paiolla attend?

Lucas Paiolla holds Bachelor In Computer Science, Computer Theory And Artificial Intelligence from Instituto De Matemática E Estatística - Universidade De São Paulo (Ime-Usp).

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