Alexis Sayago — Data Analyst (Power BI · Fabric · SQL · Python)

I help engineering & construction teams turn messy progress and energy/supply data into clear decisions.
Open to remote and DK/SE/NO relocation · EN/ES

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🚀 Latest

P2 — Nordic Infrastructure Sustainability v0.9 (Power BI + Fabric)
End-to-end demo to track Energy, CO₂e, Cost, Delay by city/asset with Executive and What-if pages.
Fabric path: Lakehouse (Delta) → Semantic Model (Direct Lake) → thin report (live).

• Repo: https://github.com/asaygom/p2-nordic-infra-sustainability-fabric-powerbi
• One-pager (PDF) & 90s GIF: see /media in the repo

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Projects (active)

• P1 · Plan vs Actual (Power BI) — weekly KPIs, variance %, simple pace index.
• P2 · Nordic Infra Sustainability (Power BI + Fabric) — plan vs actual, What-if (±20%), Direct Lake lineage.
• P3 · Supply Chain (Power BI + SQL + Python) — inventory & demand analytics: OTIF, stockouts, lead-time variability, safety stock & reorder points; Python/SQL ETL → Power BI model.

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Stack

• Power BI (DAX, data modeling, Power Query), Microsoft Fabric (Lakehouse, Semantic/Direct Lake)
• SQL, Python (pandas) for data prep and light automation

Extended toolset (past use / learning)

Bash · Git · Streamlit · Next.js · React/JS/TS/Angular

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Selected capabilities

• Star-schema modeling and KPI design (variance/%, YTD/MTD/QTD)
• What-if analysis in Power BI (scenario sliders, adjusted KPIs)
• Fabric lineage: Lakehouse → Semantic (Direct Lake) → thin reports
• Lightweight automation (Python/pandas) and SQL-backed ETL for BI

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Find me