Vitoria Willani — AI Researcher
Data Scientist with a background in mathematics and data science & analytics, focused on building data systems that generate real operational impact. I don't just build models. I design end-to-end solutions that go from raw, messy data to production pipelines that actually run, scale, and reduce manual work from days to minutes. Currently working on high-impact initiatives in e-commerce: competitor intelligence, product data standardization, marketplace automation, and catalog gap analysis using Amazon data. The kind of work where the output isn't a dashboard, it's a decision or an action that didn't require a human. My foundation is strong logic and clean data. My goal is always the same: systems that solve the problem, not just describe it. Portfolio: https://www.datascienceportfol.io/vitoriawillani
Stackforce AI infers this person is a Data Scientist specializing in E-commerce and Data Analytics.
Location: Ottawa, Ontario, Canada
Experience: 12 yrs
Skills
- Data Science
- Machine Learning
- Data Quality
- Data Analysis
- Education
- Assessment Design
- Statistics
Career Highlights
- Expert in developing end-to-end data solutions.
- Proficient in machine learning and data analysis.
- Strong background in e-commerce data initiatives.
Work Experience
AutoShack
Analytics Specialist (1 yr 3 mos)
Connected Canadians
Data Expert & Volunteer Technology Specialist (9 mos)
WhoWhatWhy
Data Analyst & Best Practices Researcher (1 yr 4 mos)
Chromos Colégio E Pré
Author of tests (7 yrs 11 mos)
Head of Statistics (2 yrs)
Mathematical specialist (10 yrs 10 mos)
Education
Master of Business Administration - MBA at USP - Universidade de São Paulo
Master's degree (Incomplete) at Universidade Federal de Minas Gerais
Bachelor of Applied Science - BASc at Universidade Federal de Minas Gerais