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Vinicius Souza

@viniciussouza2

Investigative analytics professional at GTI Express who developed a PostgreSQL and Supabase monitoring solution for parcel operations.

Brazil

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What I'm looking for

I’m seeking to transfer my established investigative and customer-facing skills into open-source intelligence (OSINT).

At GTI Express, I investigated service-level exceptions, operational discrepancies, and parcel movement records, then designed a PostgreSQL and Supabase monitoring solution with validation rules and web dashboards.

At Kovi, I investigated transactional data and contributed to an approximately 8% reduction in delinquency. I’m now seeking to transfer my investigative and customer-facing skills into open-source intelligence (OSINT).

Experience

Work history, roles, and key accomplishments

General Manager

GTI Express

Sep 2026 - Nov 2026 (2 months)

Investigated service-level exceptions and operational discrepancies to identify root causes and prioritize corrective actions. Designed a PostgreSQL/Supabase-based monitoring solution with dashboards for operational teams.

SQL PostgreSQL Supabase Data Analysis Dashboarding Root Cause Analysis

Senior Pricing Analyst

Kovi

Sep 2025 - Sep 2026 (1 year)

Investigated large transactional datasets using SQL to identify anomalies, retention and delinquency patterns, and business risks. Partnered with Finance, Customer Experience, Collections and Operations to deliver analytical studies and executive reports.

SQL Data Analysis Anomaly Detection Executive Reporting Cross Functional Collaboration

Lead Data Specialist

WAM Group

Jun 2024 - Sep 2025 (1 year 3 months)

Led a three-person analytics team, translating stakeholder requirements into analytical solutions. Conducted pricing investigation that helped reduce average monthly sales decline from approximately 39% to 10%.

Team Leadership SQL Data Analysis Pricing Analysis Forecasting Executive Reporting

Senior Data Analyst

iMile Delivery Brazil

Sep 2023 - Jun 2024 (9 months)

Investigated operational bottlenecks and service-level trends, building performance dashboards and evidence-based recommendations. Developed a predictive tool using linear regression and correlation to assess SLA and parcel-volume drivers.

SQL Data Analysis predictive modeling Linear Regression Correlation Dashboarding