Sanjay Nayak

Final year Computer engineering student with a good amount of experience in web(MERN-QL), android app(ReactNative) development and ML/DL currently focussed on Blockchain and AR development.

I have interned at a startup named Sensum Fintech. The project which I worked on was an algorithmic trading platform known as 'AlgoKart' with frontend on React JS, backend on Node/express and a mongo database. I developed a few pages (front end) from scratch. Writing the logic in backend for timely execution of strategies(.py file) along with managing the huge database was quite complex. The most important thing which I learned was the file structuring.

We were the finalists of the Smart India Hackathon 2019 wherein our project was to develop a portal which would show the trends(past and predictions) in change of depth of tubewells across different regions in India. We used the ARIMA(statistical method for time-series forecasting) model for predicting the results. The entire website was buit on MERN stack.

I also have a good amount of experience in Java-Technology (Spring and Servlets) and have done a few Machine-Learning projects, the most recent ones are 'Sentiment analysis of faculty feedback' and 'Food classification' (IP and NN) (for Unscript hackathon). Currently, I am working on a project(non-disclosable) with Tata Consultancy Services.