Personal Information

Contact Email

 mateopedroza96@gmail.com | m.pedroza@uniandes.edu.co

Phone Number

 (+57)3182899679

Address

 Tv 17ª #98-20 Bogotá, Colombia

GitHub

 github.com/mpedroza96


Profesional Profile

Fourth year student of Industrial & Computer Systems Engineering at the Universidad de Los Andes. Strong Oral and written communication skills in both Native Spanish & Fluent Non Native English. Work well in teams due to good interpersonal relationships. Ability to perform under pressure. Excellent critical thinking & problem-solving analysis. Passionate about technology, innovation and learning. Happiest when creating or improving new problem solving tools.






Academic History

Universidad de los Andes (Bogotá, Colombia)


Double Major - Bachelor of Engineering
Intended Graduation May 2021
  • Total GPA: 4 on a 5pt Scale
Industrial Engineering
July 2015 - Present
  • Relevant Coursework: Lineal Algebra, Probability, Statistics, Simulation of Discrete Events, Investment Decision Analysis, Finance, Logistics
  • Masters level Engineering Courses: Advanced System Models, Computational Complex Systems
Computer Systems Engineering
July 2018 - Present
  • Relevant Coursework: Data Structures, Object Oriented Programing and Algorithms, Software Development, Transactional Systems, Software Architecture, Algorithm Design and Analysis.

Pontifical Catholic University of Chile

October – December 2019
Online Course: Introduction to Python programming I

Google Cloud Platform

January 2020
Online Course: Big Data and Machine Learning Fundamentals



Experience

Teaching Assistant: Transactional Systems
July - December 2019
  • Grading of the course’s main project, weekly Q&A sessions, as well as debugging code in Java and SQL for 80+ students
Teaching Assistant: Object Oriented Programing and Algorithms
July - December 2017
  • Grading of practical exams and projects, as well as general assistance in lab sessions twice a week for 50+ students





Projects

Antusu Software Architecture

Proposal and implementation of a software architecture to satisfy the company needs based on rising demands and technological problems.

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Stock Prediction Tool

Tool developed in python to predict, based on historical data, the future closing price of a stock. Used Machine Learning, Long Short Term Memory Algorithm (LSTM) to analyze data and generate prediction.

Production Simulation Manitoba SAS

Simulation model and analysis of the production process of chocolate peanut and blueberries in the company "Manitoba SAS"






Relevant Information

  • Technical skills

    • Java (5 years), Python (1 year), SQL (1 year), Django (6 months), JavaScript (6 months), Angular (6 months), Amazon Web Service (6 months), HTML (6 months), TypeScript (6 months)

  • Hobbies

    • Sports (Football, Tennis, Basquetball), Gaming, Spending time with friends and family, Learning new technological abilities and skills

  • Interests

    • Develop professionally in the tech world, Expand my knowledge and abilities in data engineering, help others and try to do my part to improve society