I’m looking for a remote Senior/Lead Data Analyst role with a distributed international team—where I can deliver near real-time KPIs and production-ready data/AI systems (pipelines, ML systems, dashboards) and collaborate cross-functionally.
Looking for a job
Ciro Beduschi Domingos
@cirobeduschidomingos
Senior Data & AI professional — ETL to ML to dashboards — turning complex data into measurable business impact.
BrazilWhat I'm looking for
I'm a Senior Data & AI professional with 15 years at Volvo Group Trucks Technology, where I've built and owned the full data stack — from pipeline design and ML modeling to dashboard deployment and business decision-making.
At Volvo, I built a GPS-powered dealership performance dashboard covering 50 locations, designed global KPI dashboards for technical support across 4 international sites, and kept resolution time below 17 hours while caseload doubled from ~300 to ~650 cases/year — without adding headcount — through data-driven process improvements.
My MBA thesis applied Random Forest to sensor data from 35,652 trucks to predict transmission failures, identifying 4 key failure predictors. I also spent a year at Volvo HQ in Gothenburg, Sweden, leading the industrialization of a fleet Data Logger program — bridging raw telemetry data and actionable quality intelligence for Engineering teams.
As a portfolio project, I built a full AI-powered support ticket intelligence system: synthetic data generation, ML-based routing (TF-IDF + XGBoost), semantic search (Sentence Transformers + FAISS), a FastAPI backend, and a Streamlit dashboard — all deployed live on Railway.
I'm seeking a remote Senior or Lead Data Analyst role in a distributed international team where I can own data end-to-end and turn it into operational decisions.
Experience
Work history, roles, and key accomplishments
Current
Built a GPS-powered dealership performance dashboard covering 50 locations, replacing fragmented manual tracking with data-driven customer satisfaction measurement. Designed a global KPI dashboard for technical support across 4 international sites and maintained resolution time below 17 hours while caseload grew 2x (from ~300 to ~650 cases/year) without increasing headcount.
Applied Random Forest and XGBoost to quality and reliability datasets to identify root causes of component failures and support warranty cost reduction initiatives. Built dashboards and automated reports in Power BI and Python, and in an MBA thesis used a Random Forest classifier on sensor data from 35,652 trucks to identify 4 key predictors of transmission failure.
Drove quality intelligence from fleet telemetry data across 120 vehicles at Volvo Group HQ, helping the Quality team identify failure patterns and surface root cause insights for Engineering. Partnered with product development, quality, and IT to define data standards and validation processes so telemetry pipelines produced reliable, analysis-ready data from day one.
Provided technical support to dealership and end customers across Brazil for drivetrain, transmission, and electronic systems on commercial trucks. Improved first-contact resolution and reduced repeat escalations by developing technical training materials and knowledge base articles, while maintaining support quality as the product portfolio expanded.
Education
Degrees, certifications, and relevant coursework
ESALQ/University of São Paulo (USP)
MBA, Data Science & Analytics
2022 - 2024
MBA in Data Science & Analytics at USP/Esalq. Thesis used a Random Forest classifier on sensor data from 35,652 trucks to identify key predictors of transmission component failure.
Universidade Tecnológica Federal do Paraná (UTFPR)
Bachelor’s Degree in Electrical Engineering, Electrical Engineering
2004 - 2010
Bachelor’s degree in Electrical Engineering from UTFPR in Curitiba, Brazil.
Tech stack
Software and tools used professionally
Availability
Looking for a job
Location
BrazilAuthorized to work in
Salary expectations
80k-130k USD
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