John

Hello, I'm

Angel Chaico

Physics - Data science - ML Engineer - GIS - Remote Sensing

My LinkedIn profile My Github profile


About Me

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National University of Engineering

B.Sc. Science

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Specializations

IBM - Machine Learning
GCP - Machine Learning Engineer
Toronto - GIS

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Recognitions

Pronabec - Beca de Permanencia
UNI - Tercio superior
Voluntariado UNI - RSDS

Hi, I'm Angel Chaico!

I am a graduate in Physics with academic excellence from the National University of Engineering in Lima. My experience includes projects involving stochastic models, renewable energies, and computer vision, where I worked on data analysis and applied machine learning and deep learning models. I am looking to apply my skills in data analysis and machine learning projects with the goal of advancing towards a career in applied data science - machine learning - gis - remote sensing.

Academic and Volunteer Experiences

  • 2023: Sustainable Campus Management Brigade, UNI - Lima (Volunteer Work)
  • 2023: Sustainable Mobility for an Efficient City, ATU Online (Training and Certifications)
  • 2023: Intermediate ArcGIS, Faculty of Environmental Engineering - UNI (Training and Certifications)
  • 2022: RAEE Campaign, UNI - RSDS UN UNI - Lima (Volunteer Work)
  • 2022: Specialization in Data Analysis, GEM - Peru Online (Training and Certifications)
  • 2020: Permanence Scholarship, Pronabec - UNI - Lima (Scholarships)
  • 2019: Do It for Your Beach, Environmental League Miraflores - Lima (Volunteer Work)
  • 2019: Computer Technician, Faculty of Industrial and Systems Engineering - UNI - Lima (Technical)

Skills

Programming

Python
R
SQL

Machine Learning and AI

TensorFlow
PyTorch
Scikit-Learn
Keras
OpenCV

Complements

Flask
Tkinter
ArcGIS
Git
Latex
PowerBI
Web Scraping
Excel

Projects

Instituto ITS and Smart City

June 2024

Center for Information and Communications Technologies (CTIC) - UNI

  • YOLO model trained with a new dataset to classify vehicles.
  • Developed a simple Flask application to evaluate the models on new videos.
  • Created a Docker container and project documentation.
  • Organized tasks in CVAT for dataset creation.
  • Technical skills: Deep learning, PyTorch, Python, Flask, Tkinter, OpenCV, CVAT, YOLO.
  • 🔗Repository

Gravitational battery, design, construction and evaluation

June 2024

Advanced Magnetic Materials Group - UNI

  • Design, construction, and experimentation using solar panels and DC motors.
  • The objective was to store the energy from the solar panels as gravitational potential.
  • Technical skills: Multimeters, Microcontrollers, Picometer, Solar cell, MotoDC, Arduino, Machining, bicycle mechanics.
  • 🔗Announcement

AI applications

June 2024

Personal repository

Machine Learning projects

June 2024

Personal repository

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