Noelia Sánchez
Data Analyst | Data Scientist
Data Analyst passionate about understanding the stories behind the data. Skilled in data analysis, visualization, and machine learning, I use data, technology, and analytical thinking to uncover patterns, solve problems, and turn information into meaningful action.
Core Technical Stack
About Me
My journey combines human behavioral insight with analytical thinking.
Transitioning from social education to high-performance data science, I leverage a unique background to interpret not just what the data says, but why it matters for human systems.
What excites me most about data is not the technology itself, but the stories, behaviours, and opportunities hidden behind the numbers.
Data Analytics
Exploratory analysis, statistical inference, and deep data cleaning.
Data visualization
Translating complex datasets into intuitive storytelling dashboards.
Machine Learning
Developing predictive models with Scikit-Learn and PyTorch.
Big Data
Managing large-scale data flows and cloud integration.
Professional Evolution
Technical Training Specialist
Mainjobs
Orchestrating technical education programs and leveraging data to optimize learning outcomes across diverse corporate environments.
Training Specialist
Webhelp
Facilitated complex training modules and analyzed performance metrics to enhance operational efficiency.
Knowledge Base
Master's in Big Data & Business Analytics
Focused on data engineering, deep learning, and enterprise data strategy.
42 Málaga (Telefónica)
Rigorous peer-to-peer coding program specializing in C, algorithm design, and system architecture.
Data Analytics Professional Bootcamp
Intensive training in full-stack data analysis from ingestion to visualization.
Selected Projects
Loan Risk Prediction Platform
Production-ready machine learning platform for credit risk assessment, featuring automated model deployment, interactive analytics, Docker containerization, and CI/CD automation using GitHub Actions.
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Airbnb Global Markets Analytics
Business Intelligence project developed in Power BI to analyse Airbnb markets across six international cities. Includes ETL processes, data modelling, KPI development, and interactive dashboards to identify pricing trends, host behaviour, and market opportunities.
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Tourism Spending Forecasting
End-to-end ML model utilizing Scikit-Learn and interactive Streamlit deployment to forecast international tourism expenditure from over 10,000 trip records, providing key business insights.
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