📍 New York, NY 10001

• GitHub @santiagogsv
• LinkedIn @santiagogsv

I'm an adaptable Data Analyst fluent in English, Spanish, and Italian, with a robust background in economics. Based in New York City, I specialize in Python-driven data analysis, leveraging extensive libraries to extract and visualize actionable insights from complex datasets. My analytical toolkit, powered by Python, enables me to thrive in dynamic, collaborative environments, driving data-centric strategies and decisions.

• Python Libraries:
  • Pandas & Numpy: Utilize for data manipulation and numerical analysis to clean and prepare large datasets.
  • Matplotlib & Statsmodels: Employ for data visualization and statistical modeling to uncover trends and patterns.
• Machine Learning with Python:
  • Scikit-learn: Implement machine learning algorithms for predictive modeling.
  • TensorFlow & PyTorch: Use for building and training advanced neural network models.
• Data Management:
  • SQL: Manage databases efficiently.
  • Excel: Utilize for additional data processing and visualization.

• Data Analyst Certification | DataCamp (2024)
• Python, Time Series & Data Cleaning Certifications | Kaggle (2024)
• Swift Student Challenge Award | Apple Worldwide Developers Conference (2023)

• Deployment Technician | Promotex | Dec 2023 - Present
  • Automated data processes with Python scripts, enhancing database usability and reducing errors.
  • Configured and deployed POS systems, optimizing operational efficiency.
• DevOps Intern | Tony | Sep 2023 - Dec 2023
  • Leveraged Docker and Kubernetes to enhance system reliability.
  • Integrated GitHub Actions to automate and streamline development workflows.

Bachelor of Science in Economics | UNAM (2018 - 2023)

• Applied advanced statistical techniques and Python programming to model and analyze economic data.