
Gabriel Soliguetti

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About me
Fraud Data Analyst | Fraud Prevention Strategy | Fraud Analytics | Solutions | Fraud Market | Analytics Engineer | Project Management | Big Data | Fraud Investigation | Fraud Operations
Education

Centro Universitário Belas Artes de São Paulo
2021 - 2024Bachelor of Technology Digital Games
Escola Técnica Estadual de São Paulo
2011 - 2012Technical degree Information Technology
Experience

TTEC
Mar 2014 - Nov 2017Customer Service Team Lead
Feb 2017 - Nov 2017Operations Support Specialist
Feb 2016 - Feb 2017Customer Service Specialist
Mar 2014 - Feb 2016

99
Nov 2017 - Feb 2020Jr. Fraud Prevention Analyst
Aug 2019 - Feb 2020Customer Experience Analyst
Nov 2017 - Aug 2019

DiDi
Feb 2020 - Sept 2021Fraud Prevention Analyst- Structured antifraud requirements for business operations in various Latin American countries.- Facilitated communication between the Brazilian antifraud team and engineering for setting technical requirements.- Mitigated systemic errors that could pose risks to analysts' assessments.- Developed SQL queries to understand business operations in other countries, aiding the analytics team in crafting tailored rules.- Analyzed KPIs related to team productivity in handling LatAm demands.- Key contact for the Brazilian team regarding the expansion of antifraud operations to South America and Russia.- Established Standard Operating Procedures (SOPs) for process definition.- Designed dashboards using Google Spreadsheets and Looker Studio for monitoring and presenting KPIs. Show less

Shopee
Sept 2021 - Apr 2024- Management of datasets using SQL (Presto and Spark)- Construction of dashboards using Looker Studio and other data visualization tools, optimizing processing time through efficient BigQuery table pipelines.- Extensive use of Python as the primary programming language for process automation, documentation generation using Pandas, Selenium, and other relevant libraries.- Development of data manipulation pipelines tailored to meet business requirements.- Design and implement ETL processes to generate high-performance and scalable datasets.- Create, optimize and present reports and visualizations for the fraud analytics team using various data visualization tools.- Development and implementation of alarms for rapid identification of issues in databases, processes, or impactful changes to key performance indicators (KPIs). Show less - Proficient in SQL, particularly in Presto, for data extractions and basic manipulations.- Creation and support of whole technical sides for dispute chargeback team.- Utilized Python, focusing on Pandas, for junior-level ETL processes and automation.- Constructed dashboards using Looker Studio, highlighting fundamental visualization skills.- Engaged in basic pipeline development for streamlined data workflows.- Actively contributed to fraud prevention efforts, implementing user banishments based on rule-driven Python automation.- Played a supporting role in creating and maintaining data pipelines to optimize processes. Show less - Identify fraudulent users into the marketplace to prevent company financial losses and find system risks that could create loopholes for fraudsters.- Development of dossiers to support Legal team processes.- Analyze and reanalyze bans with the aim of integrating better antifraud rules.- Analyze disputes for chargeback defense using Salesforce to receive all the demand - Contribute to creation of news SOPs for new types of fraud.- Using SQL knowledge to collect data beyond systems and help the team make better decisions. Show less
Data Analyst • Payment Fraud Prevention
Jan 2024 - Apr 2024Jr. Data Analyst • Payment Fraud Prevention
Dec 2022 - Jan 2024Operational Excellence Analyst
Sept 2022 - Dec 2022Fraud Prevention Analyst
Sept 2021 - Sept 2022

Serasa Experian
Mar 2024 - Feb 2025Data Analyst • Auth & Fraud Prevention Strategy- Create innovative data visualization to bring daily updated dashboards- Manage Tableau to collect data from different sources- Analysis of authentication flow performance to collect business insights- Usage of Databricks to engineer ETLs and delivery data to the area- NPS and backlog analysis- Use of Python to automatically categorize NPS comments from Excel and improve auth and fraud product- Daily usage of Kanban (Jira) to manage different tasks and follow FY goals Show less

Capim
Feb 2025 - nowSr. Data Analyst • Fraud Prevention Strategy
Licenses & Certifications

PLD/FT
Escola Nacional de Administração Pública - EnapFeb 2025
Languages
- poPortuguês
- inInglês
- esEspanhol
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