VM VINICIUS MEDRADOAUTOMATION WORKSPACE
MSX International · StellantisData · Automation · Power BI · Processes
vinicius@portfolio:~$ whoami

VINICIUSMEDRADO

Data Analyst • Process Automation

6 years in the GM Brazil / Stellantis chain, via 3 vendors (Infosys, Conduent, MSX International) due to client contract changes. Now at MSX, working with Python, Power BI, SharePoint, VBA and integrations to automate routines and improve data reliability.

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VINICIUS_MEDRADO_RESUME.pdfUpdated Sep/2026
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DataAutomationRPABIIntegrations
  • Current: MSX International · Stellantis South America
  • Experience: 6 years, same chain (GM Brazil / Stellantis) · 3 vendors: Infosys → Conduent → MSX
  • Focus: Python · ETL · Power BI · automation · corporate integrations
TERMINALOUTPUTDEBUGPROBLEMSpython v3.11
$ python nps_daily.py
[OK] Focus connected
[OK] extraction completed
[OK] history compared
[OK] PowerPoint generated
[OK] output validated
execution_time: 20s
previous_time: 13m
reduction: 97%
status: success
│ daily routine completed without manual intervention
NPS DAILY PIPELINE
  1. 1
    Query Focusoperational source
    ✓
  2. 2
    Compare historyPython / rules
    ✓
  3. 3
    Validate outputconsistency checks
    ✓
  4. 4
    Generate reportPowerPoint
    ✓
  5. 5
    Finish20 seconds
    ●
// CORE STACK

Technologies used in automation, BI, integrations and published projects.

PythonPythonAutomation / ETL
SeleniumSeleniumWeb Automation
Power AutomatePower AutomateWorkflows / RPA
VBAVBAExcel / Systems
Power BIPower BIDAX / Modeling
SQLSQLData / ETL
ETLETLPipelines
FastAPIFastAPIBackend / APIs
PostgreSQLPostgreSQLDatabase
DockerDockerInfra / Deploy
Machine LearningML / OCRIDP / Models
// IMPACT

Numbers from the resume — tied to real deliveries.

◷
97%time reduction
⚙
81%reduction in validation time
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20,000+import invoices processed
ϟ
280automated tests passed
// EXPERIENCE.LOG

Corporate trajectory and outcomes tied to context, technology and impact.

work_history.log
01
MSX InternationalData Analyst · Stellantis South America
  • 97% reduction in daily NPS reporting: 13 min → ~20 s with Python, including extraction, historical comparison, validations and PowerPoint generation.
  • Restructured 4 Customer Experience scorecards and reduced a Power BI model from 158 MB → 56 MB while preserving historical data.
  • Pre-load validation before Brazil + South America Dataflows and semantic models, reducing the risk of publishing inconsistent data.
02
ConduentGeneral Motors Brazil · progression to Direct Sales Administrative Analyst
  • Python, VBA and Access automations integrated with Outlook, SAP-MM and Oracle CRM for process validation and document handling — the fiscal-receipt system led another area to invite me on as a Financial Analyst (mid-level).
  • 81% reduction in validation time: ~3 min → 34 s with Python + OCR/IDP + corporate integrations.
  • Document-intelligence workflow with OCR and human review for classification and CPF/CNPJ validation.
  • Experience across fiscal, finance, export/logistics and direct-sales operations; more than 5,000 invoices processed in one month in SAP with zero errors — promoted to Junior Financial Analyst afterward.
03
InfosysSenior Process Operator · General Motors Brazil
  • Processed 20,000+ vehicle import invoices and service invoices through internal systems and SAP-MM.
// MAIN PROJECTS

Projects selected for relevance to automation, integrations, data and product engineering.

CONTACT

Automation, data and systems — full resume available in PDF.

Santo André, SP · 6 years in the GM Brazil / Stellantis chain · author projects in production and public demos.

LinkedIn: /viniciusmedrado
GitHub: /vinmedrado