Python
Daya Sylla
AI & Data engineer — from POC to production: scalable systems, agents, apps, and cloud delivery.
👋 Daya Sylla — AI & Data Engineering.
We design and ship AI systems that move from prototype to production.
SQL and Python pipelines, BigQuery, SAP / datalake integration, automation and data quality.
Consulting in finance, marketing analytics and accounting — retail, automotive, telecom, aviation.
Vertex AI and BigQuery ML, Power BI, Streamlit and APIs — from experiments to business-ready deliverables.
Python
Google Cloud
Power BI
Streamlit
PARTNERS
Experience in consulting, data and transformation — including Axys, Carrefour, Škoda France, La Poste, SNCF Réseau and Air France.
SNCF Réseau
Air France
Axys
Carrefour
Škoda France
La Poste
Three practical levers—from framing to production—with a strong focus on business clarity.
Pipelines, warehouses, quality and SAP / S/4HANA integration on GCP—deliverables teams can run with.
Vertex AI, BigQuery ML, scoring and Power BI / Looker storytelling for decisions.
Containers, observability, guardrails and short iterations to de-risk releases.
JOURNEY
Real-world contexts where I work with data — the same skills (SQL, Python, cloud, production hardening) power the demos and APIs showcased on this site.
Engagements around SNCF Réseau and Air France: high volumes, operational KPIs, and expectations for data quality and traceability.
Carrefour context — retail analytics and collaboration with business teams on performance and usage patterns.
Škoda France — commercial data and reporting for field and management teams.
La Poste — initiatives focused on operational data and service performance.
Axys and heterogeneous data landscapes — scoping, integration, and decision-oriented deliverables.
LABS & OPEN SOURCE
A practical extension of the profile in my CV: hosted demos (GCP / Cloud Run), experiments, and public GitHub repositories — connected to the retail, transport, aviation, and telecom engagements I document in my background.
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APP SEARCH
Search by name, keyword, or technical tags (GCP, ML, quiz, scoring...).
Visualization, interactive scoring, single or batch predictions, with a documented API (hosted demo).
Credit scoring, ML pipeline and prediction UI — single & batch.
Domain-based quizzes, explanations and progress tracking.
Explore and list projects from your repositories.
Dashboard and reusable prompt library.
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Technologies and tools I use often — not exhaustive; aligned with projects and CV (Shields.io badges).