Project Manager and Full-Stack Developer who turns data and technology into shipped,
measurable results. MSc Data Scientist (GPA 3.9) who leads analytical, technical, and web
projects end-to-end — aligning teams and consistently beating cost, efficiency, and delivery
targets. Bilingual (English & French), equally effective in startup and enterprise environments.
Work Experience
Full-Stack Web Developer · Founder
Plume & Pixxel Studio — New York, USA / Dakar, Senegal · Dec 2025 — Present
As founder of Plume & Pixxel Studio, I design and build fully custom websites and web systems end-to-end for clients across the US and Senegal. Key achievements:
Build sites for beauty, 3D architecture, courses & training pros.
Built reservation & event RSVP systems with live Google Sheets sync.
Launched an AI cinematic ad service with custom AI characters.
Data Project Manager · Geotechnical Engineering
National Soil Testing — Chicago, USA (Remote) · Jun 2024 — Present
Coordinated analytical and geotechnical projects across engineers, project managers, and external clients, owning planning through delivery. Key achievements:
Tracked 40+ field investigations and 1,000+ lab tests.
Automated analytical workflows, boosting productivity by 30%.
Data-driven recommendations that lifted team efficiency by 20%.
Graduate Research Assistant · Project Lead, Data & Analytics
Shepherd Center — Atlanta, USA · Aug 2023 — May 2024
Led end-to-end data and research projects from objective definition through execution and delivery, liaising across medical, technical, and analytical teams. Key achievements:
Coordinated 5 research assistants, lifting efficiency by 15%.
Translated operational needs into data-driven solutions across teams.
Defined KPIs and built dashboards, improving delivery quality by 30%.
Analyst Intern · Project Coordination & Data Projects
Sen Eau — Dakar, Senegal · May 2023 — Aug 2023
Coordinated data-driven operational projects on water quality and resource optimization with engineering, marketing, and finance teams. Key achievements:
Monitored KPIs, driving a 12% reduction in operational costs.
Strengthened forecasting, cutting prediction errors by 20%.
Improved data governance, speeding access to key data by 25%.
