Leandro Neckel, PhD

Data professional with a background in Physics and a PhD in Materials Engineering. I combine scientific rigor, analytical ability and practical experience to turn business problems into automated, scalable solutions.

I work end to end — from understanding the problem and business rules to data engineering, modeling, routine automation and delivering dashboards, APIs and predictive models in production. I work with Python, SQL, ClickHouse, PostgreSQL, Airflow, Superset and web development (Flask/Django, React/Vue).

As a university professor since 2012, I also run trainings in educational technology and data science, translating statistical and computational fundamentals into practical applications for technical and business teams.

Where this is already proven

Data platforms, BI, automation and AI in production — from retail to industry. See the full cases.

AGPR5 · Gemba Suite

Industry · Animal nutrition

Grupo Althoff

Retail · Supermarket chain

Grupo Carlessi

Consortium · Construction · Retail

Masterfarma

Pharma retail · Price intelligence

Core stack

Career path

1. 2026 — present
   Retail demand forecasting models

   Building and monitoring predictive models in production, with drift tracking and retraining.

2. 2024 — 2026
   Data products in a regional retail chain

   CRM/RFM, personalized recommendation, loss dashboards, real-time DC, RPA and automations.

3. 2021 — 2024
   Statistical learning and industrial data engineering

   Application for near-real-time dosage monitoring; pipelines, indicators and simulators.

4. 2012 — present
   University lecturer

   Physics I/II/IV, Vectors and Matrices, Data Science (CS). Digitalization and modernization of teaching.