Led QA strategy and Agile delivery across enterprise engagements, bridging technical teams and client stakeholders.
About
Data science graduate student with a background spanning presales consulting, QA leadership, and Scrum delivery across enterprise software teams. Currently focused on applied machine learning, graph-based fraud detection, retrieval-augmented chatbots, and decision-support analytics, with an emphasis on turning ambiguous data problems into decisions stakeholders can act on.
Selected Projects
Collusive Behavior Detection
Graph neural network & Node2Vec pipeline to flag coordinated fraudulent reviews in online marketplaces.
Pharmacy Inventory Analysis
ABC-XYZ classification and anomaly detection on a year of hospital pharmacy data to reduce stockouts.
Gold Trade Analysis, Africa
Trade-dynamics study of gold exports in Burkina Faso & South Africa (2018–2024) with policy recommendations.
Spotify Data Analysis
Decision-support study applying statistical & ML techniques to music curation and engagement data.
Bike Rental Demand Dashboard
Interactive Streamlit dashboard analyzing rental demand across time, weather, and season.
More on GitHub →
Additional notebooks, dashboards, and course projects.
Experience
Education
Skills
Languages & Data
Machine Learning
Analytics & BI
Certifications
- Scrum Alliance Certified ScrumMaster (2023 – 2025)
- The Complete Python Pro Bootcamp, Udemy
- Statistics & Mathematics for Data Science & Analytics, Udemy
Languages