I am a 3rd year Computer science undergraduate. I like to play with data and convert it to a useful form for modelling and analysing. I am also inclined towards Web development and have created multiple full stack websites for companies as a freelancer and an intern. I am also a deep learning enthusiast and have multiple projects in the same field. My hobbies include Gaming and physical activities
As an intern at BuyUcoin , i am developing Automation software for increasing social media presence and also for social media marketing. With the help of selenium library I have currently automated instagram. The bot as of now , likes 250 images per hour and follows 100 people per hour. Along with improving this software , I am also developing softwares for other social media platforms
Clustered geolocation data intelligently in python for the ease of analysis with the help of kafka library. accumulated all the taxis in the johannesberg area and labeled them according to their owning companies on a map. This project can help us understand the best area to find taxis and what areas do taxi driver prefer.
Made a traffic sign detection model using Convolutional Neural Network. This model has can predict the traffic signs with around 90% accuracy. This concept can be improvised and used in self driving cars for the detection of traffic signs and other necessary objects that need to be detected on road
Performed Exploratory Data Analysis on a Cancer Details dataset. I analysed the data to understand which features can help us classify Benign from Malignant tumors. It contained reduction of data bias , and checking the consistancy of data
Solely Created a real life multiplayer mobile game (ludo) for Plutomen Spaceforce which will be inculcated in their Latest mobile app Squadcam. It was made with Node.js , Sockets and bootstrap. It contains features like Multiple lobbies , Game spectator option , chat screen and other options , which bring it at par with games like Ludo King
Made a Facial Feature recognisation model With the help of Convolutional Neural networks
Made a sentiment analysis model with logistic regression and sci-kit learn to predict
Made a customised music player with javascript , html and css
Analysing data and creating machine learning models to predict the future stock price of XRP tokens
Developing and creating the current website of code for cause along with the team. Responsible for removing any kinds of distortions that may occur on the page
Worked on developing and integrating games with Plutomen's mobile app - Squadcam
I developed prototypes of the project in association with patanjali ayurveda . We also created and deployed an ERP system for patanjali
Worked on outlier detection , filling of missing data and performing exploratory data analysis on their client feedback data
