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Felixpere/README.md

Hi, I'm Félix 👋

I'm a Data Analyst who builds the reporting layer small and mid-sized companies actually run on: Power BI and Tableau dashboards that answer a specific business question, and Python + SQL pipelines that stop anyone from rebuilding the same report by hand every Monday. My background is in B2B sales before I moved into data, which means I tend to start from the decision a stakeholder needs to make and work backwards to the query — not the other way round.

Most recently I spent seven months inside a financial services organisation working on Power BI at scale: migrating reports across multiple data engines (Oracle, SQL Server and PostgreSQL), rebuilding the semantic models behind them, and automating a report inventory that used to be maintained manually. I also built an internal AI assistant that answers recurring Power BI support questions from a documented base of resolved tickets. Before that I completed a Data Analytics bootcamp at Ironhack and finished a Business Administration degree between Universidad Sergio Arboleda (Bogotá) and Universidad Complutense de Madrid.

I'm currently open to freelance work — dashboard design and rebuilds, reporting automation, data cleaning pipelines and ad-hoc analysis, mostly for SMEs and e-commerce teams.

Selected projects

Project What it does
Crypto Signal Performance Analysis End-to-end Python pipeline that validates 2,199 public trading signals against real Bybit market data, with statistical testing and a Streamlit dashboard. Answers a question nobody had actually measured.
Vanguard A/B Test — Funnel Analysis Product analytics case study: funnel conversion and drop-off comparison between a control and a redesigned onboarding flow, with hypothesis testing and a Tableau dashboard.
Streaming Wars: Netflix vs Prime Video Comparative content-strategy analysis across two catalogues — data wrangling, EDA and visual analysis of maturity ratings, runtimes and genre diversity.
Spotify Top 50 — What Makes a Hit SQL-first analysis of audio features behind globally charting tracks, from schema design to insight.

Toolbox

Analysis & BI — Power BI (DAX, semantic models), Tableau, Excel Code — Python (Pandas, NumPy, SciPy, Scikit-learn, Streamlit), SQL Databases — PostgreSQL, SQL Server, Oracle, MySQL, SQLite Other — Alteryx, Salesforce, Git

📍 Madrid, Spain · Working in English and Spanish 📫 acevedo.perez.felix@gmail.com

Pinned Loading

  1. crypto-signal-analysis crypto-signal-analysis Public

    End-to-end Python pipeline validating 2,199 public crypto trading signals against real Bybit market data, with hypothesis testing and a Streamlit dashboard.

    Jupyter Notebook

  2. spotify-top50-sql-analysis spotify-top50-sql-analysis Public

    SQL-first analysis of the audio features behind the Spotify Top 50: relational schema design in MySQL, aggregation queries and EDA on what characterises a charting track.

    Jupyter Notebook

  3. streaming-content-strategy-analysis streaming-content-strategy-analysis Public

    Comparative content-strategy analysis of the Netflix and Prime Video catalogues: data wrangling, EDA and visual analysis of maturity ratings, runtimes and genre diversity.

    Jupyter Notebook

  4. vanguard-ab-test-funnel-analysis vanguard-ab-test-funnel-analysis Public

    Product analytics case study on a live Vanguard A/B test: funnel conversion and drop-off across 755,405 web events, with hypothesis testing and a Tableau dashboard.

    Jupyter Notebook

  5. car-flip-opportunity-detector car-flip-opportunity-detector Public

    Opportunity detector for the Spanish used-car market: market valuation against real comparables, a 130-profile engine-quality model (IAQ), flip scoring and a Streamlit dashboard. 98 tests.

    Python