Daya Sylla

Who am I?

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.

Data & pipelines
ML & analytics
Cloud & visualization
Professional profile visual
PL-300
Power BI certification
GCP
Cloud, data & ML
2
Master’s degrees (data & analytics)
6+
Reference client logos

Data & platforms

SQL and Python pipelines, BigQuery, SAP / datalake integration, automation and data quality.

Enterprise contexts

Consulting in finance, marketing analytics and accounting — retail, automotive, telecom, aviation.

ML, BI & product

Vertex AI and BigQuery ML, Power BI, Streamlit and APIs — from experiments to business-ready deliverables.

Python

Google Cloud

Power BI

Streamlit

PARTNERS

Trusted by

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

How I can help

Three practical levers—from framing to production—with a strong focus on business clarity.

Data & industrialization

Pipelines, warehouses, quality and SAP / S/4HANA integration on GCP—deliverables teams can run with.

ML & analytics

Vertex AI, BigQuery ML, scoring and Power BI / Looker storytelling for decisions.

Reliability & shipping

Containers, observability, guardrails and short iterations to de-risk releases.

JOURNEY

Profile & field experience

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.

  1. 1

    Transport & aviation

    Engagements around SNCF Réseau and Air France: high volumes, operational KPIs, and expectations for data quality and traceability.

  2. 2

    Retail

    Carrefour context — retail analytics and collaboration with business teams on performance and usage patterns.

  3. 3

    Automotive

    Škoda France — commercial data and reporting for field and management teams.

  4. 4

    Postal & logistics

    La Poste — initiatives focused on operational data and service performance.

  5. 5

    Consulting & telecom

    Axys and heterogeneous data landscapes — scoping, integration, and decision-oriented deliverables.

Full background — About

LABS & OPEN SOURCE

Platforms, product work & public code

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.

5 visible platforms

OPEN SOURCE

All public GitHub repositories

Browse every public repository in one place — dynamic cards, full-text search, and language filters powered by the GitHub API.

Great for exploring code, topics, and demos attached to each project.

Tech stack (preview)

Technologies and tools I use often — not exhaustive; aligned with projects and CV (Shields.io badges).

Languages, data science & BI

PythonRSQLTypeScriptScikit-learnPySparkBigQueryVertex AIPower BILookerExcel VBAMLOps

Cloud, DevOps & environments

Google CloudAzureDockerKubernetesTerraformDataflowDataprocCI/CDGitGitHubPowerShellLinuxShellLaTeXVS Code

Front-end, back-end & data

StreamlitReactHTML5CSS3FastAPIFlaskDjangoNode.jsPostgreSQLSAPSAP HANASAP Fiori

Methods & collaboration

ScrumConfluence