Hi, I’m [Alejandro], an aspiring data scientist passionate about extracting insights from complex datasets and applying quantitative methods to solve real-world problems. I’m currently in the final stages of my Bachelor's degree in Mathematics at the Facultad de Ciencias Físico Matemáticas at the Universidad Autónoma de Nuevo León. Throughout my academic journey, I’ve developed a solid foundation in advanced mathematical topics, including differential, integral, and vector calculus; linear algebra; group, ring, and field theory; general topology; and real analysis. Additionally, I have experience in programming and computational thinking, which I use to model, simulate, and analyze data-driven scenarios.
Explore my data science vlog
I’m eager to apply this rigorous training to challenges in data science, machine learning, and analytics, and I’m continuously learning to bridge the gap between theoretical mathematics and practical, impactful solutions.
- Theoretical and applied data science
- Statistical modeling and inference
- Machine learning and predictive analytics
- Quantitative data analysis
- Financial data analysis
- Econometrics and time series analysis
- Programming Languages: Python, R, SQL
- Data Analysis: pandas, NumPy, dplyr, ggplot2
- Machine Learning: scikit-learn, TensorFlow, caret
- Databases: PostgreSQL, MySQL, SQLite
- Tools: Git, Jupyter Notebooks, RStudio, Tableau
This repository showcases my work in data science through various projects including (as I expect):
- Financial Market Analysis: Statistical modeling and forecasting of market trends using time series techniques
- Predictive Modeling: Machine learning applications for classification and regression problems
- Statistical Inference: Applied statistical methods and hypothesis testing on real-world datasets
- Data Visualization: Interactive dashboards and exploratory data analysis projects
Preparing to begin an M.Sc. in Data Science at CIMAT (Centro de Investigación en Matemáticas), where I will deepen my expertise in advanced statistical methods and machine learning applications.
Feel free to connect with me or explore my repositories below to see my upcoming projects in data science and statistical analysis.