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Hi there, it's Andrei šŸ‘‹

šŸ§‘šŸ»ā€šŸŽ“ Fourth Year Software Engineering Co-op student at McGill University passionated about Software Development and Machine Learning.

šŸ‘ØšŸ»ā€šŸ’» Four internships completed (Rogue Research, Autodesk and Gildan).

šŸŒ± Iā€™m currently learning more about Machine Learning and working on repos offering exercises about Pandas, Scikit-Learn, Numpy and Matplotlib.

šŸ’Ŗ Master these programming languages:

  • C++ (Including OpenCV)
  • Python (including the libraries Scikit-Learn, Pandas, Numpy, OpenCV, MatPlotLib)
  • Java
  • C
  • Objective-C
  • Assembly
  • HTML
  • CSS
  • JavaScript
  • Vue.js
  • VHDL
  • R
  • Octave

Libraries/Frameworks: Scikit-learn, Pandas, NumPy, Matplotlib, Flask, UMPLE, FastAPI, Vue.js, Spring, React/NextJS, asyncio, JavaFx,audioop,SQLite, Pickle, JUnit, TensorFlow, Discord_Api, openai, joblib, repl.it db, ntlk, tabula, tabulate, PyPDF2, xarray, specklepy.api, steamlit, plotly, speckle_io,

Technologies: Github, Git, VSCode, JupyterNotebook, Eclipse, Gradle, Hibernate, PostgresSQL, MSAzure, Streamlite, AWS, Google Cloud, GoDaddy, SQL, Google Tools, PyCharm, IntelliJ, ARMv7DE1-SoC Emulator, Postman, JSON, Gherkin, Repl.it cloud service. Anaconda, Discord

Main Projects:

Museum Website

  1. Created in a team of 6 a website by using software engineering project management best practices.
  2. Built the backend by using Java, Spring, JPA, PostgreSQL
  3. Built the frontend by using Vue.js (HTML, CSS, JavaScript)

Link to the Github repo: https://github.com/McGill-ECSE321-Fall2022/project-group-18

Co-Ride | Easy Ride Sharing

  1. Created in a team of 4 a website that matches commuters to the determined path of a driver and offering maintenance for the driver's car.
  2. Built the backend by using Python, Machine Learning, FastApi, MS Azure and StreamLit.
  3. Built the frontend by using NextJS (JS and CSS). Used Google Geolocalisation API and Directions API.

Link to the original Github repo: https://github.com/joshua-rdrgz/transporthacks

Link to my forked repo: https://github.com/andrei-sandor/transporthacks

Chat Moji

  1. Created in a team of 4 an application that converts text to emoji
  2. The backend was done by using Python (handle the input and produce the output)
  3. The frontend was started written in HTML, CSS to integrate the backend.

Link to the Github repo: https://github.com/andrei-sandor/ChatTOHacks

RU Hackathon

  1. Created an application that diagnoses if a person has a disease
  2. Machine learning (Python) was done to detect if the person has a disease
  3. sqlite was used to handle the database representing the record of the patient

Link to the Github repo: https://github.com/andrei-sandor/RUHackathon

Gaming Price Tracker

  1. Created a website that tracks video games and gaming equipment used by users and employees/admin in a team of 9.
  2. Created the backend by using AWS, Java, and Spring (Tested with Gherkin). Created the fronted with Vue.js
  3. GitHub was used as a project management tool.

DiveSafe.

  1. Created an application for a fictual island for a diving program.
  2. Created the backend by using UMPLE code and Java. Tested by using TDD. Frontend done with CSS and JavaFx.
  3. Collaborated with in a team of 6 to produce the code, domain model, state machines and constraints

Link to my portfolio for my other projects

Link to my porfolio: https://github.com/andrei-sandor/Portfolio-Andrei-Sandor

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Reach me at: [email protected]

andrei-sandor's Projects

100-pandas-puzzles icon 100-pandas-puzzles

100 data puzzles for pandas, ranging from short and simple to super tricky (60% complete)

11_python_matplotlib_module icon 11_python_matplotlib_module

Matplotlib is an amazing visualization library in Python for 2D plots of arrays. Matplotlib is a multi-platform data visualization library built on NumPy arrays and designed to work with the broader SciPy stack. It was introduced by John Hunter in the year 2002. One of the greatest benefits of visualization is that it allows us visual access to hug

itk icon itk

Insight Toolkit (ITK) -- Official Repository. ITK builds on a proven, spatially-oriented architecture for processing, segmentation, and registration of scientific images in two, three, or more dimensions.

python-exercises icon python-exercises

Generic Set of exercises in python aimed to teach newbies to grasp fundamentals easily.

vxl icon vxl

A multi-platform collection of C++ software libraries for Computer Vision and Image Understanding.

zero-to-mastery-ml icon zero-to-mastery-ml

All course materials for the Zero to Mastery Machine Learning and Data Science course.

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