I'm a passionate and driven Data Scientist and Developer focused on transforming complex data into actionable insights and building robust, data-driven applications. I thrive on exploring new technologies and leveraging code to solve real-world challenges.
My primary interests and areas of focus include:
- Data Science & Visualization: Harnessing data to uncover patterns, build predictive models, and communicate findings effectively through compelling visual narratives.
- Machine Learning: Exploring and implementing various ML algorithms to extract value from data.
- Data Engineering: Designing and building pipelines to collect, process, and store large datasets.
- Full-Stack Development: Building scalable, secure, and user-friendly web applications, often with a data-centric backend.
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Languages & Technologies:
Python (Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn, Plotly, FastAPI), R (ggplot2, dplyr, shiny), SQL, Java, JavaScript (React, Node.js), HTML, CSS, Bash
Data Analysis & Visualization:
Jupyter Notebooks, RStudio, Power BI, Tableau, Excel, Matplotlib, Seaborn, Plotly, ggplot2, interactive dashboards
Machine Learning & AI:
Scikit-learn, TensorFlow, Keras, XGBoost, LightGBM, MLflow, OpenAI API
Frameworks/Libraries:
FastAPI, Flask, Spring Boot, Thymeleaf, Bootstrap, React, Node.js
Databases:
PostgreSQL, MySQL, SQLite, MongoDB
Cloud & DevOps:
Azure (Cognitive Services, Storage, App Service), Docker, GitHub Actions, Git, GitHub
Other Tools:
Linux, VS Code, PyCharm, Postman, Swagger, Figma
Concepts:
Statistical Modeling, Predictive Analytics, Data Engineering, ETL, RESTful APIs, Object-Oriented Programming, Data Structures & Algorithms, Agile/Scrum
- Email: [email protected]
- LinkedIn: Cristian Asprilla
🎯 Fun Fact & Currently Learning
- 📚 Fun Fact: I enjoy spending time reading academic books, watching other people's projects, or playing shooter and sports video games. I appreciate silence, observing people's happiness and interactions, and often reflect on life while watching others. The sound of rain puts me in a deep trance, helping me think clearly and deeply about many things.
- 📚 Currently Learning: Advanced MLOps and cloud-based data engineering.
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A collection of data science projects covering topics such as fraud detection, data analysis, and machine learning. This repository showcases practical applications of data science techniques and end-to-end project workflows.
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CourseMap is a comprehensive web application for managing UTP (Universidad Tecnológica de Panamá) study plans and academic progress tracking. Features include PDF upload and extraction, interactive study plan visualization, course status tracking, and a modern UI. The project uses FastAPI, React, Azure Cognitive Services, and more.
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A comprehensive data visualization and analysis project of the 2024 Panama Presidential Elections, exploring voting patterns, regional distributions, and electoral dynamics through interactive R-based visualizations. Data is sourced from the Tribunal Electoral de Panamá.
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A full-stack Hotel Management System built with Spring Boot, Thymeleaf, and PostgreSQL. This system features secure authentication, robust customer and room management, a flexible booking system, and efficient service management. While not my core data science focus, it demonstrates my full-stack development capabilities.