Projects on Luis Núñez — Analytics Engineer https://luis-fer-333.github.io/projects/ Recent content in Projects on Luis Núñez — Analytics Engineer Hugo -- gohugo.io en-us Mon, 01 Sep 2025 00:00:00 +0000 Nobel Prize Data Lake — Medallion Architecture on AWS https://luis-fer-333.github.io/projects/nobel-prize-data-lake/ Tue, 01 Apr 2025 00:00:00 +0000 https://luis-fer-333.github.io/projects/nobel-prize-data-lake/ A medallion-architecture data lake on AWS S3 with Prefect-orchestrated ETL Lambdas — raw API responses → bronze joins → silver analytics table. Movie Database ETL Pipeline — Multi-Source Ingestion to SQLite https://luis-fer-333.github.io/projects/movie-database-etl/ Sun, 01 Dec 2024 00:00:00 +0000 https://luis-fer-333.github.io/projects/movie-database-etl/ 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. Medical Appointment Chatbot — LLM + AWS + WhatsApp https://luis-fer-333.github.io/projects/medical-appointment-chatbot/ Mon, 01 Sep 2025 00:00:00 +0000 https://luis-fer-333.github.io/projects/medical-appointment-chatbot/ 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. Airbnb Valencia — Cloud BI with Supabase + Preset https://luis-fer-333.github.io/projects/airbnb-valencia-bi/ Sun, 01 Jun 2025 00:00:00 +0000 https://luis-fer-333.github.io/projects/airbnb-valencia-bi/ A full BI stack analyzing 8,847 Airbnb listings — from raw CSV load through SQL modeling on Supabase to stakeholder dashboards in Preset. Movie Analytics — Deep EDA for Investment Decisions https://luis-fer-333.github.io/projects/movie-analytics-eda/ Fri, 01 Nov 2024 00:00:00 +0000 https://luis-fer-333.github.io/projects/movie-analytics-eda/ A deep exploratory analysis across 4,000 movies to identify the factors driving box-office success — framed around a low-budget-production investment scenario. Sentiment Analysis at Scale — PySpark on AWS https://luis-fer-333.github.io/projects/spark-sentiment-pipeline/ Sat, 01 Mar 2025 00:00:00 +0000 https://luis-fer-333.github.io/projects/spark-sentiment-pipeline/ 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. Spanish Electricity Demand — Time-Series Pipeline with InfluxDB + Forecasting https://luis-fer-333.github.io/projects/electricity-demand-pipeline/ Thu, 01 May 2025 00:00:00 +0000 https://luis-fer-333.github.io/projects/electricity-demand-pipeline/ 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. Formula 1 Data Analysis — Multi-Table Pandas Pipeline https://luis-fer-333.github.io/projects/formula1-data-analysis/ Tue, 01 Oct 2024 00:00:00 +0000 https://luis-fer-333.github.io/projects/formula1-data-analysis/ A pandas-driven analysis across 13 relational CSVs (75 years of F1 history) with multi-way joins, filtering, and map-based visualization. Customer Analytics — Churn, CLV & Segmentation https://luis-fer-333.github.io/projects/customer-analytics/ Fri, 15 Nov 2024 00:00:00 +0000 https://luis-fer-333.github.io/projects/customer-analytics/ Three ML-driven marketing projects in one notebook — telco churn classification, customer lifetime value regression, and RFM-based customer segmentation. Housing Price Analysis — Regression, Explainability, and Unsupervised Learning https://luis-fer-333.github.io/projects/housing-price-ml/ Sat, 01 Feb 2025 00:00:00 +0000 https://luis-fer-333.github.io/projects/housing-price-ml/ 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. Book Recommender — Hybrid Content + Collaborative Filtering https://luis-fer-333.github.io/projects/book-recommender/ Sun, 15 Jun 2025 00:00:00 +0000 https://luis-fer-333.github.io/projects/book-recommender/ A hybrid book recommender combining TF-IDF, sentence embeddings, and SVD-based collaborative filtering on the goodbooks-10k dataset. Dog Breed Classification — CNN from Scratch vs. Transfer Learning https://luis-fer-333.github.io/projects/dog-breed-cnn/ Wed, 15 Jan 2025 00:00:00 +0000 https://luis-fer-333.github.io/projects/dog-breed-cnn/ 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. Cinema — Serverless AWS Application https://luis-fer-333.github.io/projects/cinema-serverless-aws/ Tue, 15 Apr 2025 00:00:00 +0000 https://luis-fer-333.github.io/projects/cinema-serverless-aws/ 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. Heart Disease MLOps — MLflow + Streamlit Deployment https://luis-fer-333.github.io/projects/heart-disease-mlops/ Mon, 30 Jun 2025 00:00:00 +0000 https://luis-fer-333.github.io/projects/heart-disease-mlops/ A full MLOps cycle — dataset → MLflow-tracked experiments → production registry → Streamlit deployment in two patterns (embedded vs. API-backed).