HEMIT PATEL
A passionate aspiring Software Engineer born in 2009. Love the MERN Stack and MySQL!! You ready to see my skills? Lets explore!
The journey begins in 2019...
π§βπ»It started small with just simple HTML pages but as time progressed so did I. Now I can create full-stack websites, perform practical EDA, etc.
π» Work Experience
- Chairman @ Everyone STEM (Jul 2023 - Present)
- Software Developer @ GharMates (Jan 2024 - Present)
- Software Engineer III @ Tech Optimum (Jul 2023 - Feb 2024)
My weapons βοΈ
π‘οΈ I LOVE working with these technologies and have a good understanding of them! You can find my projects in my github, therefore I do have pratical expereience with them as well!
My Testimonials π
These are people that I have worked with and agreed to give a testimonial on my work as a Software Engineer ππ₯
My portfolio π¦Ύπ¨βπ»
These are the projects that I want to show off πͺ
GharMates' Web/API Platform
This is a project that I worked on during my time as a Software Engineer at GharMates. I was responsiable for mostly the frontend of the website but I also worked on designing backend infrastructure.
Grant Internal Tool System (GITS)
A full fledge webapp that allows users to see upcoming grants which are posted by the admins. I worked on this app when I was working as a Software Engineer at Tech Optimum.
Fact or Cap?
Created an app that allows users to view random facts and either pick if it is true (Fact) or if it is false (Cap). Than, it sends this data to a backend server using NodeJS & Express with the MVC architecture for better code organisation. It also shows how many people agree with the fact and do not agree with the fact with Mongoose and its countDocument method.
Used Technologies:
Stockscope
A data science app I made! It was the first time I used python in a real world project to analyze stocks aimed at financial anaylst.
Used technlogies:
Instagram Clone
This clone really shows my expertise in full stack development. To host my images I used Firebase Store.
Pratical EDA Pratice
In this project I did some basic EDA (Data Visulization to be more speific in terms of what EDA I did). This could help me find the proper Machine Learning algorithms becaused it tells me that all the labels and features are numerical values, therefore linear regression is a good model to use. (That is just how I performed the EDA, I thought of it more deeper and better than how I described it)
Used Technologies: