09/16/2025 updated
100 % available
Data Scientist, Fullstack Developer
Barcelona, Spain
Spain
BSc. Computer Science, Master's Degree in Business Intelligence and Data ManagementInnovationArtificial IntelligenceApache AirflowData AnalysisComputer VisionBusiness IntelligenceExtract Transform Load (ETL)Web DevelopmentPython (Programming Language)Machine LearningPredictive ModellingVisualizationMicrosoft Power BIProcess AutomationSatellite Imagery
Hi, I’m Jesus Santos Capote, a passionate and detail-oriented Data Scientist, Machine Learning Engineer, and Full-Stack Developer. I specialize in designing and implementing innovative data-driven solutions that optimize processes, enhance decision-making, and tackle complex challenges.
I hold a Bachelor’s degree in Computer Science and a Master’s in Business Intelligence and Data Management. My expertise spans Python, machine learning frameworks such as PyTorch, data analysis and visualization with Power BI and ETL design and development with Apache Airflow and Pandas. I also have extensive full-stack development experience with FastAPI, .NET Core, Spring Boot, React, and Angular, and have worked on computer vision projects applying convolutional neural networks to large-scale datasets, including satellite imagery analysis.
What sets me apart is my ability to bridge backend systems, frontend interfaces, advanced AI models, and business intelligence tools into cohesive, impactful solutions. I enjoy projects involving predictive modeling, data analytics, dashboarding, web application development, and process automation—whether for industrial optimization or creating user-friendly applications. retraer
I hold a Bachelor’s degree in Computer Science and a Master’s in Business Intelligence and Data Management. My expertise spans Python, machine learning frameworks such as PyTorch, data analysis and visualization with Power BI and ETL design and development with Apache Airflow and Pandas. I also have extensive full-stack development experience with FastAPI, .NET Core, Spring Boot, React, and Angular, and have worked on computer vision projects applying convolutional neural networks to large-scale datasets, including satellite imagery analysis.
What sets me apart is my ability to bridge backend systems, frontend interfaces, advanced AI models, and business intelligence tools into cohesive, impactful solutions. I enjoy projects involving predictive modeling, data analytics, dashboarding, web application development, and process automation—whether for industrial optimization or creating user-friendly applications. retraer
Languages
EnglishGoodSpanishNative speaker
Project history
Actively contributed to the development of a hotel CRM transitioning into a Customer Data Platform (CDP).
Designed and built ETL pipelines to integrate booking data from more than 30 hotel systems.
Developed and maintained APIs Django Rest Framework to provide data access for both the front-end application and the data analytics team.
Performed SQL query optimization and data modeling in to enhance performance and data quality.
Designed and built ETL pipelines to integrate booking data from more than 30 hotel systems.
Developed and maintained APIs Django Rest Framework to provide data access for both the front-end application and the data analytics team.
Performed SQL query optimization and data modeling in to enhance performance and data quality.
Analytical tool for investment in AirBnb
Developed a Data Warehouse, Power BI dashboard, and web application using Inside Airbnb data to support global real estate investment decisions. The solution identifies the most profitable countries, cities, neighborhoods, and property types. It also integrates a regression model to estimate the optimal nightly price based on location, amenities, and property type, allowing users to assess the potential return on investment. Technologies: Power Bi, Apache Airflow, Docker, Pandas, Python, SQLAlchemy, PostgreSQL, scikit-learn, Pytorch
Developed a Data Warehouse, Power BI dashboard, and web application using Inside Airbnb data to support global real estate investment decisions. The solution identifies the most profitable countries, cities, neighborhoods, and property types. It also integrates a regression model to estimate the optimal nightly price based on location, amenities, and property type, allowing users to assess the potential return on investment. Technologies: Power Bi, Apache Airflow, Docker, Pandas, Python, SQLAlchemy, PostgreSQL, scikit-learn, Pytorch
Maintained a web application for automated report generation for insurance companies, enhancing its visual appearance and responsiveness.
Conducted prompt engineering for ChatGPT via OpenAI API to generate monetized reports, and designed a calendar event organizer that increased report generation per user from 16 to 30, boosting company revenue.
Developed server-side logic with FastAPI and debugged issues across the stack.
Technologies:
React, Typescript, FastApi, Python, MaterialUI, TailwindCSS, PostgreSQL, Docker, SQLAlchemy retraer
Conducted prompt engineering for ChatGPT via OpenAI API to generate monetized reports, and designed a calendar event organizer that increased report generation per user from 16 to 30, boosting company revenue.
Developed server-side logic with FastAPI and debugged issues across the stack.
Technologies:
React, Typescript, FastApi, Python, MaterialUI, TailwindCSS, PostgreSQL, Docker, SQLAlchemy retraer