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carloshgalvan95/README.md

👋 Hi, I’m Carlos Galván

Petroleum Reservoir Engineer • Applied Data Scientist • MSc (Applied AI) Candidate

🔧 What I do

I combine reservoir engineering, data engineering and machine learning to extract value from subsurface & production datasets.
Currently, I’m driving analytics-led solutions @PEMEX and deepening my expertise with a master’s in Applied Artificial Intelligence.

🚀 My Focus Areas

  • Designing ETL pipelines, leveraging AWS services (S3, Glue, Lambda, SageMaker) to design automated solutions.
  • Developing ML/AI models to derive predictive and prescriptive value.
  • Bridging the traditional petroleum domain with scalable data-engineering workflows and ML.

💻 Technical Skills

Programming Languages & Libraries
Python Pandas NumPy Matplotlib Seaborn SciPy PySpark Spark Jupyter Databricks API REST API ETL C++ JavaScript jQuery Angular NodeJS FastAPI Bruno

Data Science & Machine Learning
Scikit-Learn TensorFlow Keras PyTorch Neural Networks Deep Learning Supervised Learning Unsupervised Learning

Databases
Microsoft SQL Server MySQL PostgreSQL MongoDB

Data Engineering & Cloud
AWS SageMaker Glue Athena Redshift Spectrum Airflow Step Functions Lambda DBT Docker

Data Visualization
Power BI Tableau

(You can explore these repositories from my profile. Feel free to star 🟊 the ones you find interesting.)

📫 Let’s Connect

LinkedIn

Email
🔗 Check out my pinned repos on my GitHub profile for full details.

“Transforming reservoir data into operational insights through AI, engineering and cloud-scale pipelines.”

Pinned Loading

  1. PyBer_Analysis PyBer_Analysis Public

    Analysis to address the disparities found between the average fares for every type of city using Pandas Python library, Jupiter Notebooks and Matplotlib for data visualization.

    Jupyter Notebook

  2. School_District_Analysis School_District_Analysis Public

    School district analysis based on overall grade performance to determine how much budget impacts the grades of students using Pandas Python library and Jupiter Notebooks.

    Jupyter Notebook

  3. World_Weather_Analysis World_Weather_Analysis Public

    World weather analysis to determine correlations between latitude and weather conditions to use as parameters on trip recommendations given the desired weather conditions using Python Pandas, SciPy…

    Jupyter Notebook 1

  4. Craigslist_Used_Cars_Analysis Craigslist_Used_Cars_Analysis Public

    Craigslist used cars database analysis to determine correlations between price depreciation and manufacturer, model and age of used cars

    Jupyter Notebook

  5. Square_Meter_Value_Real_Estate Square_Meter_Value_Real_Estate Public

    Most important factor that influence the price per square meter of a property.

    Jupyter Notebook

  6. personal_finance_gui personal_finance_gui Public

    A personal finance application with GUI for tracking income, expenses, and financial goals

    TypeScript