ShivangSaxena

{Full-Stack Developer}

Html . CSS . JavaScript . React . Python

Chaoo Charles

Hello 👋🏽

I'm Shivang Saxena,a coffee lover ☕, an undergraduate CS student and currently looking for an opportunity in the field of Machine Learning ,Full-stack-web development and Software Developer.

I'm doing my graduation from Kanpur Institute of Technology I have done two internship provided from Internshala,a large platform which provides internship to the student based on their skills. In My first intership i worked as a campus Ambessador for the Pop Shot Browser App and in My second internship i worked as a Machine Learning intern for Aam Aadmi Party where my task is to clean the data and fit a Machine Learning algorithum which having accuracy more than 85%.

I have also done some Machine learning web app like Survival Prediction,Breast Cancer Detection,Uber ride weekly analysis,Student Performance analysis based on their past performance,Covid-19 data analysis.

Last but not least, one of my favorite activities is to educate and mentor others in the field to fulfill their potential and deepen my knowledge. You can find more about me on my Linkdin Profile. Linkdin.

Note : All the links in this Page are disable but soon it will activate.


DIGITIZE YOUR BUSINESS

i will help you to create a remarkable first impression with creative designs

Web Development

HTML, CSS (Bootstrap), JavaScript (MERN Stack), Gatsby, Firebase ? You name it. I have it all covered!

Responsive Design

In 2020 you can't go online without having a mobile responsive website. Let me take care of that for you!

Machine Learning Web Apps

If you want to convert your Machine Learning Model into an Web app so i can help you by Making an Intreactive look of your web App With Python web framework Flask/Django and design it by Html/Css/Javascript.


PROJECTS

these are some of my Basic projects

Survival Prediction Using Machine Learning

I simply Created a Machine Learning Web app on Titanic Ship which will predict whether if you were in Titanic Ship so would you survived or Not ? The Model is Trained on Machine Learning Classification Algorithum Decision-Tree-Classifier with an accuracy of 88.95%.If you want to see the source code of this project so go to my github account and check out the source code.

Student Performance Analysis Using Machine Learning

I simply Created a Machine Learning Web app on Student Dataset which will predict Student Grade in a Particular Subject based on their Performance. The Model is Trained on Machine Learning Classification Algorithum Random-Forest-Classifier with an accuracy of 87.95%.If you want to see the source code of this project so go to my github account and check out the source code.

Uber Rides Weekly Analysis

I simply Created a Machine Learning Web app on Taxi Dataset which will predict how many rides should a driver do so that he earn more profit. The Model is Trained on Machine Learning Regression Algorithum Multiple-Linear-Regression with an accuracy of 95.8%.If you want to see the source code of this project so go to my github account and check out the source code.


Get In Touch

I'd love if you reached out to me. Even if it's just to say "Hey!". Don't hesitate! Drop me a line and I’ll get back to you ASAP!

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