Economist and Data Scientist
It's amazing how we can currently connect with a large number of people around the world. Today you are here, getting to know a part of my passion and work.
- Data Science empowers us to unlock valuable insights from complex data, driving innovation and informed decisions. It transforms raw information into actionable knowledge, enabling success and growth in every project
About me
I hold a degree in Economics from Universidad del Valle, Colombia, with a specialization in Data Analysis and Science. My passion for data analysis and artificial intelligence has driven me to immerse myself in Machine Learning (ML) and work on innovative projects. My academic background enables me to blend economic theory with advanced data analysis techniques and predictive modeling tools, including supervised and unsupervised learning algorithms, regression models, classification, clustering, and deep learning. I am proficient in Python, R, and libraries such as Scikit-learn, TensorFlow, and Keras.
Throughout my career, I have developed projects involving large dataset analysis, predictive modeling, and process automation. My interests extend to natural language processing (NLP), neural networks, and time series analysis, which has deepened my understanding of how data can transform decision-making across sectors. I aim to continue advancing my expertise in Machine Learning and Big Data, exploring emerging technologies, and applying innovative solutions to solve complex, real-world challenges.
Skills
Python for Data Science & Machine Learning:
Development of machine learning pipelines, data preprocessing, exploratory analysis, and model evaluation using libraries such as scikit-learn, pandas, and matplotlib. I've worked on both classification and regression problems, with an emphasis on practical deployment and performance tracking.-
Automation with Excel Macros & Python Scripts:
Building custom Excel tools with VBA to automate repetitive reporting and data transformation tasks. I also use Python for scalable automations, including file processing, SharePoint audits, and report generation. -
SQL for Data Extraction & Analysis:
Proficient in querying relational databases (MySQL, SQL Server) to extract, clean, and analyze structured data. I regularly build complex joins, aggregations, and performance-optimized queries for dashboards and reporting. -
Interactive Dashboards with Power BI:
Creation of dynamic, business-oriented dashboards using Power BI. This includes data modeling, DAX calculations, and interactive visual storytelling to support decision-making. -
R for Statistical Modeling & Visualization:
Application of statistical techniques, hypothesis testing, and advanced data visualization with ggplot2 and tidyverse.
My projects
PYTHON
This project focuses on the analysis and supervised classification of the well-known Fisher's Iris dataset, aiming to accurately predict the species of iris flowers (Iris setosa, Iris versicolor, and Iris virginica) based on numerical features: sepal length, sepal width, petal length, and petal width.
Segundo títular
Aquí comienza tu texto. Puedes hacer clic en este punto y empezar a escribir. Sed ut perspiciatis unde omnis iste natus error sit voluptatem accusantium doloremque laudantium totam rem aperiam.
EXCEL
-
