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Vitor Schroeder Dos AnjosVA
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Vitor Schroeder Dos Anjos

@vitorschroederdosanj

Data & statistical intelligence professional building default risk models with SQL, R, and Python.

Brazil
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What I'm looking for

I’m looking for a role where I can build and pitch statistically grounded models—especially default risk—using strong data engineering, SQL/R/Python, and AI fine-tuning to drive credit decisions with measurable significance.

I’m a statistical intelligence professional focused on turning data into defensible models for real credit decisions. At StepWise, I created, presented, and pitched default risk assessment models to industry credit providers, while building and cleaning data banks with millions of entries using SQL, R, Python, and proprietary systems.

My technical approach is rooted in rigorous math and statistics: I’ve worked on defining parameters for aggregating data in n dimensions with HDBSCAN, developing a metric analog for measuring distance between n-dimensional objects in a statistically significant way, and exploring extensions of Markov chains via matrix composition. I also contribute to AI by fine-tuning mathematical, statistical, and physics responses through questions, answers, corrections, and annotations.

Experience

Work history, roles, and key accomplishments

Education

Degrees, certifications, and relevant coursework

Federal University of São Carlos (UFSCar) logoFU

Federal University of São Carlos (UFSCar)

2023 - 2024

Final dissertation at UFSCar attempting to extend Markov chains via matrix composition of n-order steps, composing all k possible steps.

Tech stack

Software and tools used professionally

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