Hi, I’m Alejandro — a Physicist turned Data Scientist with a passion for solving complex problems through data. From quarks to queries, my journey has taken me from academic research to the world of Machine Learning and AI.

Technical Skills

Programming Languages

Python Python R R    
SQL: PostgresSQL (Familiar with) PostgresSQL MySQL (Familar with) MySQL SQLite (Familiar with) SQLite
NoSQL: MongoDB (Familiar with) MongoDB    

Data Manipulation & Processing

Libraries: NumPy NumPy Pandas Pandas

Cloud & Deployment Platforms

Cloud Platforms: AWS (Familiar with) Amazon Web Services (AWS)
Containerization & Orchestration: Docker (Familiar with) Docker

Machine Learning & AI

Libraries: Scikit-learn (Some experience) Scikit-learn Tensor-Flow (Some experience) TensorFlow PyTorch (Familiar with) PyTorch

Algorithms

  • Supervised Learning:
Linear Regression Logistic Regression Decision Trees Random Forest Support Vector Machines (SVM) Neural Networks
  • Unsupervised Learning:
Clustering Principal Component Analysis (PCA) Autoencoders
  • Reinforcement Learning:
Q-learning Deep Q-Networks Policy Gradient Methods

Data Visualization

Libraries: Matplotlib Matplotlib Seaborn Seaborn Plotly Plotly ggplot2 ggplot2
Dashboard Tools: TableauTableau PowerBI PowerBI    

MLOps & Workflow Orchestration

Version Control: Git Git GitHub GitHub Data Version Control (DVC) (Familiar with) Data Version Control (DVC)
Pipeline Orchestration: Airflow (Planning to work with) Airflow Kubeflow (Planning to work with) Kubeflow  

Soft Skills

Problem-solving | Scientific communication | Research mindset | Self-taught learner | Team collaboration

Education

PhD in Physics

PhD in Physics CINVESTAV - Physics Department
2019 - 2024 Mexico city, Mexico
  Researched the internal structure of hadrons using the MIT Bag Model and non-extensive Tsallis statistics. Developed a thermodynamically consistent model of quark-gluon matter to study pressure distribution inside the proton.

Physics Engineer

Physics Engineer Technological University of the Mixteca - Physics Department
2013 - 2018 Huajuapan de León, Oaxaca - Mexico
  Focused on theoretical physics. I worked in a new model of population growth.

Certifications

  • Complete Python Bootcamp (Udemy, 2022–2023) — José Portilla, Pierian Training
  • SQL Bootcamp: Zero to Hero (Udemy, 2022–2023) — José Portilla
  • Machine Learning A-Z: AI, Python & R (Udemy, 2023–2024) — Kirill Eremenko, Hadelin de Ponteves
  • AI A-Z (2024): Build 7 AI + LLM Models (Udemy, 2023–2024) — Kirill Eremenko, Hadelin de Ponteves

Here are some of the projects I plan to build and showcase soon. 🚧 Work In Progress

Stay tuned!

Sentiment Analysis

Built a sentiment analysis model to classify text as positive or negative, useful for customer feedback and social media analysis.

Read More

Fraud Detection

Fraud Detection

Machine Learning model to detect fraudulent transactions using ensemble methods.

Read More

Real Time Object Detection

Real-Time Object Detection

Placeholder for YOLO-based real-time object detection pipeline on video streams.

Coming Soon

Recommendation System

Recommendation System

Placeholder for collaborative filtering recommendation engine.

Coming Soon

Let’s Connect

Feel free to reach out if you’re interested in collaborating, have a question, or just want to say hi!