🧑🏻‍🎓 Fourth Year Software Engineering Co-op student at McGill University passionated about Software Development and Machine Learning.

👨🏻‍💻 Four internships completed (Rogue Research, Autodesk and Gildan).

🌱 I’m currently learning more about Machine Learning and working on repos offering exercises about Pandas, Scikit-Learn, Numpy and Matplotlib.

💪 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, selenium, openpyxl, win32com, smtplib, forex, seaborn

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, Bootstrap

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

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

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

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

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.

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