Diego Pereira
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Diego Pereira Email & Phone Number

Data Analytics Engineer at Rei do Pitaco
Location: Rio De Janeiro, Brazil 5 work roles 3 schools
1 work email found @reidopitaco.com LinkedIn matched
✓ Verified Jul 2026 4 data sources Profile completeness 100%

Contact Signals · 1 work email

Work email d****@reidopitaco.com
LinkedIn Profile matched
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Current company
Role
Data Analytics Engineer
Location
Rio De Janeiro, Brazil
Company size

Who is Diego Pereira? Overview

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Quick answer

Diego Pereira is listed as Data Analytics Engineer at Rei do Pitaco, a with 13 employees, based in Rio De Janeiro, Brazil. AeroLeads shows a work email signal at reidopitaco.com and a matched LinkedIn profile for Diego Pereira.

Diego Pereira previously worked as Data Scientist at Picpay and Data Analyst at Olx Brasil. Diego Pereira holds Information Systems, Information Technology from Universidade Federal Fluminense.

Company email context

Email format at Rei do Pitaco

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{first}.{last}@reidopitaco.com
89% confidence

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

Profile bio

About Diego Pereira

Diego Pereira is a Data Analytics Engineer at Rei do Pitaco. He possess expertise in sql, microsoft sql server, english, ssis, vertica and 10 more skills. He is proficient in Espanish and English.

Listed skills include Sql, Microsoft Sql Server, English, Ssis, and 11 others.

Current workplace

Diego Pereira's current company

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

Rei do Pitaco
Rei Do Pitaco
Data Analytics Engineer
sao paulo, sao paulo, brazil
Website
Employees
13
AeroLeads page
5 roles

Diego Pereira work experience

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

Data Analytics Engineer

Current
Nov 2022 - Present

Data Scientist

São Paulo, Brazil

• Built a baseline algorithm for social feed sorting with the help of PySpark.• Conducted analysis and desiged rules for spam and bot activity detection making use of Python data libraries, such as pandas, numpy, matplotlib and scikit-learn.• Designed and tested different supervised Machine Learning models for spam and bad behavior detection on app’s social feed.• Partnered with product team to create a process for model monitoring and retraining.

Feb 2021 - Jul 2022

Data Analyst

Rio De Janeiro E Região, Brasil

• Creation, Maintenance and Continuous Improvement of Fraud Detection / Prevention System (using SQL-based batch system).• Conducted discovery using data for deep dive analysis to gather insights for fraud and bad behavior detection (using Python data libraries, such as pandas, numpy, matplotlib and scikit-learn). • Partnered with product team to create the first real-time supervised model for fraud detection on chat application.• Partnered with operation’s team to create quality processes and models monitoring.• Assisted the definition and development of products team's KPIs in Trust and Safety area.• Built operational reports in Tableau or Redash for models and rules quality tracking.

Oct 2016 - Jan 2021

Software Programmer

• Maintained malware and phishing database. • Conducted file analysis and its behaviours, creating rules to automate file classification.• Developed Python scripts for file processing and classification.• Wrote Python web scripts for report page.• Worked with SQL scripts and procedures to provide statistics to the report page.

Sep 2014 - Apr 2015

Business Intelligence Developer

• Modelled data dictionary for BI applications used by the largest entertainment company in Brazil. • Contributed in creating a method to analyse 30k lines of PL/SQL in 2 months, which improved the Oracle 10i database querying performance by 41%.• Designed the technical content for a brochure used by HP’s marketing department.• Participated in internal experiments, such as unstructured data processing and sentiment analysis on social networks using Vertica Big Data Solutions.• Supported for 3 months an artistic resources management system, which is used by the largest entertainment company in Brazil, using PL/SQL knowledge.

Mar 2013 - Aug 2014
Team & coworkers

Colleagues at Rei do Pitaco

Other employees you can reach at reidopitaco.com. View company contacts for 13 employees →

3 education records

Diego Pereira education

Information Systems, Information Technology

http://www.ic.uff.br/index.php/en-GB/undergraduate-programs/information-systems

Business Computing - 3Rd Year, Information Technology

Science Without Borders exchange program http://www.dit.ie/catalogue/Programmes/Details/DT354?tab=Programme%20Structure

FAQ

Frequently asked questions about Diego Pereira

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

What company does Diego Pereira work for?

Diego Pereira works for Rei do Pitaco.

What is Diego Pereira's role at Rei do Pitaco?

Diego Pereira is listed as Data Analytics Engineer at Rei do Pitaco.

What is Diego Pereira's email address?

AeroLeads has found 1 work email signal at @reidopitaco.com for Diego Pereira at Rei do Pitaco.

Where is Diego Pereira based?

Diego Pereira is based in Rio De Janeiro, Brazil while working with Rei do Pitaco.

What companies has Diego Pereira worked for?

Diego Pereira has worked for Rei Do Pitaco, Picpay, Olx Brasil, Psafe Tecnologia S/A, and Hewlett-Packard.

Who are Diego Pereira's colleagues at Rei do Pitaco?

Diego Pereira's colleagues at Rei do Pitaco include Filipe Alves, Júlia Beatriz Fernandes, Tamiris Silva, Thiago Tomé, and Breno Henrique Rosas Do Nascimento.

How can I contact Diego Pereira?

You can use AeroLeads to view verified contact signals for Diego Pereira at Rei do Pitaco, including work email, phone, and LinkedIn data when available.

What schools did Diego Pereira attend?

Diego Pereira holds Information Systems, Information Technology from Universidade Federal Fluminense.

What skills is Diego Pereira known for?

Diego Pereira is listed with skills including Sql, Microsoft Sql Server, English, Ssis, Vertica, Oracle Pl/Sql Development, Linux, and Oop.

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