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    <title>Home on Luis Núñez — Analytics Engineer</title>
    <link>https://luis-fer-333.github.io/</link>
    <description>Recent content in Home on Luis Núñez — Analytics Engineer</description>
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      <title>Nobel Prize Data Lake — Medallion Architecture on AWS</title>
      <link>https://luis-fer-333.github.io/projects/nobel-prize-data-lake/</link>
      <pubDate>Tue, 01 Apr 2025 00:00:00 +0000</pubDate>
      <guid>https://luis-fer-333.github.io/projects/nobel-prize-data-lake/</guid>
      <description>A medallion-architecture data lake on AWS S3 with Prefect-orchestrated ETL Lambdas — raw API responses → bronze joins → silver analytics table.</description>
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    <item>
      <title>Movie Database ETL Pipeline — Multi-Source Ingestion to SQLite</title>
      <link>https://luis-fer-333.github.io/projects/movie-database-etl/</link>
      <pubDate>Sun, 01 Dec 2024 00:00:00 +0000</pubDate>
      <guid>https://luis-fer-333.github.io/projects/movie-database-etl/</guid>
      <description>An end-to-end ETL pipeline that ingests movie metadata from IMDb bulk files and a REST API, stages it in MongoDB, and lands it in a normalized relational schema with foreign keys.</description>
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    <item>
      <title>Medical Appointment Chatbot — LLM &#43; AWS &#43; WhatsApp</title>
      <link>https://luis-fer-333.github.io/projects/medical-appointment-chatbot/</link>
      <pubDate>Mon, 01 Sep 2025 00:00:00 +0000</pubDate>
      <guid>https://luis-fer-333.github.io/projects/medical-appointment-chatbot/</guid>
      <description>Cloud-based WhatsApp chatbot for medical appointment management using LLaMA 3.3-70B for intent parsing, AWS Lambda for serverless orchestration, and Google Calendar as the scheduling backend.</description>
    </item>
    
    <item>
      <title>Airbnb Valencia — Cloud BI with Supabase &#43; Preset</title>
      <link>https://luis-fer-333.github.io/projects/airbnb-valencia-bi/</link>
      <pubDate>Sun, 01 Jun 2025 00:00:00 +0000</pubDate>
      <guid>https://luis-fer-333.github.io/projects/airbnb-valencia-bi/</guid>
      <description>A full BI stack analyzing 8,847 Airbnb listings — from raw CSV load through SQL modeling on Supabase to stakeholder dashboards in Preset.</description>
    </item>
    
    <item>
      <title>Movie Analytics — Deep EDA for Investment Decisions</title>
      <link>https://luis-fer-333.github.io/projects/movie-analytics-eda/</link>
      <pubDate>Fri, 01 Nov 2024 00:00:00 +0000</pubDate>
      <guid>https://luis-fer-333.github.io/projects/movie-analytics-eda/</guid>
      <description>A deep exploratory analysis across 4,000 movies to identify the factors driving box-office success — framed around a low-budget-production investment scenario.</description>
    </item>
    
    <item>
      <title>Sentiment Analysis at Scale — PySpark on AWS</title>
      <link>https://luis-fer-333.github.io/projects/spark-sentiment-pipeline/</link>
      <pubDate>Sat, 01 Mar 2025 00:00:00 +0000</pubDate>
      <guid>https://luis-fer-333.github.io/projects/spark-sentiment-pipeline/</guid>
      <description>A distributed ML pipeline processing 17M Amazon reviews with PySpark MLlib on AWS Glue — including S3 medallion storage, feature engineering, and model serialization for batch inference.</description>
    </item>
    
    <item>
      <title>Spanish Electricity Demand — Time-Series Pipeline with InfluxDB &#43; Forecasting</title>
      <link>https://luis-fer-333.github.io/projects/electricity-demand-pipeline/</link>
      <pubDate>Thu, 01 May 2025 00:00:00 +0000</pubDate>
      <guid>https://luis-fer-333.github.io/projects/electricity-demand-pipeline/</guid>
      <description>A continuous ingestion pipeline for Spanish grid demand with InfluxDB storage and Prophet-based day-ahead forecasting. Includes a dashboard for real vs forecast visualization.</description>
    </item>
    
    <item>
      <title>Formula 1 Data Analysis — Multi-Table Pandas Pipeline</title>
      <link>https://luis-fer-333.github.io/projects/formula1-data-analysis/</link>
      <pubDate>Tue, 01 Oct 2024 00:00:00 +0000</pubDate>
      <guid>https://luis-fer-333.github.io/projects/formula1-data-analysis/</guid>
      <description>A pandas-driven analysis across 13 relational CSVs (75 years of F1 history) with multi-way joins, filtering, and map-based visualization.</description>
    </item>
    
    <item>
      <title>Customer Analytics — Churn, CLV &amp; Segmentation</title>
      <link>https://luis-fer-333.github.io/projects/customer-analytics/</link>
      <pubDate>Fri, 15 Nov 2024 00:00:00 +0000</pubDate>
      <guid>https://luis-fer-333.github.io/projects/customer-analytics/</guid>
      <description>Three ML-driven marketing projects in one notebook — telco churn classification, customer lifetime value regression, and RFM-based customer segmentation.</description>
    </item>
    
    <item>
      <title>Housing Price Analysis — Regression, Explainability, and Unsupervised Learning</title>
      <link>https://luis-fer-333.github.io/projects/housing-price-ml/</link>
      <pubDate>Sat, 01 Feb 2025 00:00:00 +0000</pubDate>
      <guid>https://luis-fer-333.github.io/projects/housing-price-ml/</guid>
      <description>A two-part project on the Ames Housing dataset covering data prep, Ridge/Random Forest/KNN modeling, SHAP/PDP explainability, PCA/t-SNE, and Gaussian mixture clustering.</description>
    </item>
    
    <item>
      <title>Book Recommender — Hybrid Content &#43; Collaborative Filtering</title>
      <link>https://luis-fer-333.github.io/projects/book-recommender/</link>
      <pubDate>Sun, 15 Jun 2025 00:00:00 +0000</pubDate>
      <guid>https://luis-fer-333.github.io/projects/book-recommender/</guid>
      <description>A hybrid book recommender combining TF-IDF, sentence embeddings, and SVD-based collaborative filtering on the goodbooks-10k dataset.</description>
    </item>
    
    <item>
      <title>Dog Breed Classification — CNN from Scratch vs. Transfer Learning</title>
      <link>https://luis-fer-333.github.io/projects/dog-breed-cnn/</link>
      <pubDate>Wed, 15 Jan 2025 00:00:00 +0000</pubDate>
      <guid>https://luis-fer-333.github.io/projects/dog-breed-cnn/</guid>
      <description>74-class fine-grained dog breed classifier progressing from a VGG-style CNN to InceptionV3 with fine-tuning. Clear case study in why transfer learning wins on small datasets.</description>
    </item>
    
    <item>
      <title>Cinema — Serverless AWS Application</title>
      <link>https://luis-fer-333.github.io/projects/cinema-serverless-aws/</link>
      <pubDate>Tue, 15 Apr 2025 00:00:00 +0000</pubDate>
      <guid>https://luis-fer-333.github.io/projects/cinema-serverless-aws/</guid>
      <description>An event-driven serverless application on AWS: scheduled Lambda polling a third-party API, S3 event-triggered DynamoDB sync, and API Gateway endpoints for queries.</description>
    </item>
    
    <item>
      <title>Heart Disease MLOps — MLflow &#43; Streamlit Deployment</title>
      <link>https://luis-fer-333.github.io/projects/heart-disease-mlops/</link>
      <pubDate>Mon, 30 Jun 2025 00:00:00 +0000</pubDate>
      <guid>https://luis-fer-333.github.io/projects/heart-disease-mlops/</guid>
      <description>A full MLOps cycle — dataset → MLflow-tracked experiments → production registry → Streamlit deployment in two patterns (embedded vs. API-backed).</description>
    </item>
    
    <item>
      <title>About</title>
      <link>https://luis-fer-333.github.io/about/</link>
      <pubDate>Mon, 01 Jan 2024 00:00:00 +0000</pubDate>
      <guid>https://luis-fer-333.github.io/about/</guid>
      <description>&lt;p&gt;&lt;img loading=&#34;lazy&#34; src=&#34;https://luis-fer-333.github.io/images/profile.jpg&#34; alt=&#34;Luis Núñez&#34;  /&gt;
&lt;/p&gt;
&lt;hr&gt;
&lt;p&gt;I&amp;rsquo;m &lt;strong&gt;Luis Núñez&lt;/strong&gt;, an Analytics Engineer based in Barcelona. I build the layer that turns raw data into decision-ready datasets and dashboards — the glue between the engineers who produce data and the analysts, scientists, and stakeholders who consume it.&lt;/p&gt;
&lt;p&gt;📄 &lt;a href=&#34;https://luis-fer-333.github.io/Luis_Nunez_CV.pdf&#34;&gt;Download my CV (PDF)&lt;/a&gt;&lt;/p&gt;
&lt;h2 id=&#34;education&#34;&gt;Education&lt;/h2&gt;
&lt;p&gt;&lt;strong&gt;M.Sc., Data Science &amp;amp; Data Engineering&lt;/strong&gt; — Universidad de Castilla-La Mancha · 2024 – 2025
Python, AWS, Spark, InfluxDB, pandas, MLflow, medallion data-lake patterns.&lt;/p&gt;</description>
    </item>
    
    <item>
      <title>Contact</title>
      <link>https://luis-fer-333.github.io/contact/</link>
      <pubDate>Mon, 01 Jan 2024 00:00:00 +0000</pubDate>
      <guid>https://luis-fer-333.github.io/contact/</guid>
      <description>&lt;p&gt;Have a question or want to connect? Fill out the form and I&amp;rsquo;ll get back to you.&lt;/p&gt;
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&lt;p&gt;Or reach me directly at &lt;a href=&#34;mailto:luisfernando064@gmail.com&#34;&gt;luisfernando064@gmail.com&lt;/a&gt; · &lt;a href=&#34;https://linkedin.com/in/lun3429&#34;&gt;LinkedIn&lt;/a&gt;&lt;/p&gt;</description>
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