Web Development
ConoceValencia
A live Valencia site: EMT and metro arrivals, Valenbisi, Fallas, and the city agenda. Maps on open city data, five languages, no sign-up.
Next.js · TypeScript · MapLibre · PostgreSQL
David Rodriguez
Data Analyst & Web and Mobile Developer
I analyze data until it makes sense, then build the sites and apps where people look it up. Data science, web, and mobile — same precision.
Selected projects
Showing 8 results
Mobile Development
ConoceValencia App
A native Valencia app: EMT, Valenbisi, metro, and the city agenda, with widgets and notifications. Built for iOS and Android; on Google Play for now, free, no sign-up.
Expo · React Native · TypeScript · MapLibre
Web Development
Diego Sabanés
Official site for filmmaker Diego Sabanés: filmography, bio, workshops, and script consultancy. Next.js and Sanity — an editorial archive between Argentina and Spain.
Next.js · TypeScript · Sanity · next-intl
Data Science
Global Chocolate Sales Dashboard
Interactive dashboard built with Python & Plotly Dash tracking sales data (2022-2025) across 6 countries. Features dynamic filtering by region and time range to analyze revenue and shipping performance.
Python · Dash · Plotly · Pandas
Data Science
Historical Stock Revenue Dashboard
Analyzed financial trends for companies like Tesla, Amazon, and GameStop. Utilized Web Scraping and yFinance for extraction, building interactive dashboards with Plotly.
Python · Pandas · Plotly · Web Scraping
Data Science
Chicago Data Analysis with SQL
Integrated socioeconomic, school, and crime datasets into a SQLite database. Executed complex SQL queries to uncover correlations between poverty, school safety, and crime rates.
Python · SQL · SQLite · Pandas
Data Science
SpaceX Falcon 9 Landing Prediction
End-to-end Capstone Project. Predicted first-stage landing success to estimate launch costs ($62M vs $165M). Pipeline involved Data Collection (API & Web Scraping), SQL Warehousing, Exploratory Data Analysis, Interactive Maps with Folium, and Machine Learning Model Optimization (SVM, Decision Trees, Logistic Regression).
Python · Scikit-learn · SQL · Folium · Pandas
Data Science
Machine Learning Techniques & Pipelines
Comprehensive technical study of ML algorithms including Classification (SVM, Decision Trees) and Clustering (DBSCAN, K-Means). Built pipelines with GridSearchCV validation, feature engineering with PCA, and regularization, culminating in a real-world Rainfall Prediction Classifier.
Python · Scikit-learn · XGBoost · PCA