<aside> 👩🏻‍💻 Hello! I'm Edgar Lara, a Master student in AI. I am passionate about data science, deep learning, machine learning, computer vision, and natural language processing.

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🧠 About Me

As a Physics Engineer at the University of Guanajuato, I bring a creative and analytical perspective to the field of data science, machine learning, deep learning, and AI. My background in math and coding equips me with a unique understanding of how technology, media, and data intersect. This insight drives my passion for leveraging advanced computational techniques to analyze and interpret complex media data, innovate content strategies, and understand the societal impacts of emerging technologies. When I'm not engaged in academic pursuits or media projects, I'm continually exploring new ideas and immersing myself in literature on technological advancements and their implications.

📑 Education

Universidad Autónoma de Querétaro

• Master in Sciences in Artificial Intelligence

Jan 2023 - today

Universidad de Guanajuato

• Bachelor in Physics Engineering

Aug. 2018 - June 2022

Japan National Institutes of Technology (KOSEN)

• Study Abroad Program

Jul 2016

📋 Experience

Research Assistant - Forte Innovation Consulting

Apr, 2022- Sep, 2022

• Implemented Sentiment Analysis for Hosting Reviews: Developed a sentiment analysis model to evaluate customer feedback on hosting services, enabling actionable insights into user satisfaction and areas for improvement.
• Developed Object Character Recognition (OCR) Solutions: Built and integrated OCR systems to extract and process text from various documents, streamlining data entry and document management processes.
• Engineered Query Tool in AWS Lambda: Designed and implemented a module using AWS Lambda to process user input text and execute queries on a MongoDB database, enhancing the efficiency and scalability of data retrieval operations.

**President - AFIF (Association of Future Physical Engineers**, a Student Society at Universidad de Guanajuato)

• Created and taught a comprehensive Python programming course
  • Covering variables, data structures, loops, conditionals, functions, NumPy, and Matplotlib.
  • Empowered students with practical coding skills, fostering a collaborative and interactive learning environment.
  • Successfully conducted two editions of the course:
    • 1st Edition: February 2021
    • 2nd Edition: May 2022