Jorge.

Data Analytics | Data Engineering & Cloud & ML

Hello, I'm
Jorge Tito

I build end-to-end data systems — from real-time ingestion and processing to analytics, visualization, and intelligent decision-making. My work combines data engineering, cloud-native architectures (AWS), and applied machine learning, with a focus on scalability, robustness, and real-world impact.

  • • Real-time data pipelines (streaming & serverless)
  • • Data lakes and SQL-based analytics
  • • Machine learning for time-series data
  • • Cloud architecture with AWS & Infrastructure as Code
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Core Expertise

My work focuses on building scalable data systems that combine analytics, cloud-native architectures, and applied machine learning.

Data Analytics

Exploring data, identifying patterns, and generating insights through visualization and analytical thinking.

Data Engineering

Building scalable data flows for ingestion, transformation, and processing across different systems.

Cloud Architecture

Designing cloud-native solutions focused on scalability, reliability, and efficient system design.

Machine Learning

Applying machine learning to solve real-world problems with focus on performance and robustness.

Featured Projects

Selected projects that showcase my work across data analytics, cloud architecture, and applied machine learning.

EEG Event Analytics Pipeline on AWS
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EEG Event Analytics Pipeline on AWS

Cloud & Fog & Data Engineering

Pipeline fog-cloud orientado a eventos para la ingesta, persistencia, análisis y notificación de eventos EEG utilizando servicios de AWS.

Fog ComputingCloud ComputingAWS KinesisAWS LambdaAWS S3AWS DynamoDBAWS GlueAmazon AthenaAmazon SNSIAMIaCEvent-Driven ArchitectureData LakeEEG Signal Processing
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Movie Recommendation System with C++ Backend
06

Movie Recommendation System with C++ Backend

Recommendation Systems & Backend Engineering

Sistema de recomendación de películas basado en filtrado colaborativo, KNN, métricas de similitud y backend REST en C++.

C++Recommendation SystemsCollaborative FilteringKNNCosine SimilarityPearson CorrelationCrow C++REST APIMultithreadingHash MapsMovieLens 33MBackend Engineering
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DEAP Visual Analytics: Interpretando la Fusión Multimodal de EEG con Husformer
10

DEAP Visual Analytics: Interpretando la Fusión Multimodal de EEG con Husformer

Visual Analytics y Procesamiento de Señales Multimodales

Sistema de visual analytics para interpretar un transformer de fusión multimodal (Husformer) sobre señales EEG y fisiológicas del dataset DEAP — desde el preprocesamiento de señal hasta un sistema interactivo de vistas coordinadas.

PythonPyTorchFlaskD3.jsJavaScriptEEG Signal ProcessingMultimodal FusionTransformersVisual AnalyticsHuman-Computer Interaction
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