Technical Skills: Python, Machine Learning, Artificial Inteligence, PostgreSQL, Docker, Flask, JavaScript, CSS, HTML, Google Cloud Platform, Mathematica, Tableau (and equivalents)
- Diplomate, Data Science | Platzi (September 2023)
- M.S., Astrophysics | Pontificia Universidad Católica de Chile (December 2020)
- B.S., Astronomy | Pontificia Universidad Católica de Chile (May 2015)
- I have proficiently executed Extract, Transform, Load (ETL) processes, handled data processing, conducted comprehensive modeling, and performed in-depth analysis, including hypothesis testing. These activities were integral to assessing marketing campaigns and facilitating data-driven business decision-making at local companies, like Chimu Store SpA.
The visual presents a data modeling for assessing the success of marketing campaigns at Chimu Store SpA.
Developed SatoriDriven WebApp by designing and implementing the API and webpage using Flask, Django, JavaScript, CSS, and HTML. This encompassed the implementation of various products, their associated names and visual ideas, enhancing the overall functionality, aesthethics and user interface of the application.
Created an automated cloud-pipeline workflow product tool that seamlessly connects and updates the client database for SatoriDriven WebApp. DataFlow serves as the foundation, enabling SatoriDriven to efficiently access and store data crucial for its AI and data visualization products.
Led the development of the StockPredict product at SatoriDriven. Responsibilities encompassed data preprocessing, extensive research, and the complete lifecycle of an AI model for demand forecasting. This versatile model, applicable across diverse contexts such as health and food services, and retail sales, aims to optimize storage expenses, and enhance the efficiency of the client capital.
Architected ZenViz, a comprehensive product featuring a cloud pipeline workflow. This system efficiently preprocesses, mines, and stores crucial administrative and business data, including their corresponding KPIs. ZenViz empowers users with automatically updated and accessible cloud dashboards, providing a seamless experience for monitoring key metrics and insights.
Developed as part of my Data Science diplomate at Platzi, this project enhances my skill set by focusing on data extraction without API access. Leveraging Selenium, the automation framework is designed to seamlessly extract crucial data from dynamic and JavaScript-driven websites. Specifically, the project is tailored to extract essential flight information from a prominent airline's website. This initiative not only showcases proficiency in web scraping but also demonstrates the ability to handle dynamic content and JavaScript interactions for effective data extraction.
I implemented an advanced AI project focused on object detection and tracking, specifically applied to cars and motorbikes. This undertaking involved research and implementation of cutting-edge artificial intelligence algorithms for robust object detection and precise tracking. The project extends its impact through the analysis of post-processing metadata associated with the detected objects.
Primarily designed for city cars and motorbikes, but extensible to any kind of object, the versatility of this project allows its application across various industries. From quality control and management to enhancing security measures, the capabilities of this AI system offer valuable insights and efficiency improvements in diverse operational contexts.
- Conference poster: "Relativistic plasma waves by strong sources of low-frequency radiation" - PHAROS Conference, Rome, Italy, May 2022
- Conference talk: "Maximum mass of neutron stars: What are their main ingredients?" - XV Latin American Regional IAU Meetin, Cartagena de Indias, Colombia, October 2016
- Conference poster: "Maximum mass of neutron stars: What are their main ingredients?" - XIII Annual SOCHIAS meeting, Antofagasta, Chile, March 2016
- Workshop talk: "Maximum mass of neutron stars: ¿Chandrasekhar or Schwarzschild?" - PUC/Columbia joint workshop, Santiago, Chile, May 2015
- Workshop talk: "Making my own neutron star" - 3rd Jamboree of Science at PUC, Santiago, Chile, October 2014
- A. Reisenegger & F. S. Zepeda (2016), "Order-of-magnitude physics of neutron stars", The European Physical Journal A, 52, 52