B.Tech
Amrita Vishwa Vidyapeetham,
Computer Science and Engineering
AUG 2018 - Present
Score: 8.87 CGPA
TBIE
Excellencia Junior College, Hyderabad
Physics, Chemistry, Mathematics ARP 2016 - MAR 2018 Score: 97.8 %
CBSE
VRS AND VJ RESIDENTIAL SCHOOL, Hyderabad
APR 2012 - MAR 2016
Score: 10.0 CGPA
Languages
Python
C
HTML
Java
JavaScriptTechnologies
OpenCV
Working with YOLO 
Machine Learning
Deep Learning
Working with OpenPose in TensorflowIndustry Knowledge
Data Structures and Algorithms
Object Oriented Programming
Database Management System
Computer Organization and Architecture
Anokha Techfair Co-Ordinator Feb 2020
Anokha 2020
Full Time
Anokha 2020 is an national level tech-fest organised by Amrita Vishwa Vidyapeetham, I have been part of the Tech-fair organising team as it is the first of its kind in Anokha we have faced lot of problems and successfully learnt the aspects of forming a team and importance roles of a team player.
Sentiment AnalysisThis is my first project in deep learning and the dataset is downloaded from kaggle and in this dataset containes all the customer id's and when a review is given, and whether the review is positive, negative or neutral and I implemented to predict which part of the sentence is reponsible for the review being positive, negative or neutral and this can be simply done by using sentiment analyzer in sklearn library but the accuracies are too low.
Covid-19 Data Analysis
In this project i have done data analyzing on the covid 19 datasets, i have shown the difference between matplotlib,pandas,plotly and plotly express and made different visualisations and also i showed on how to use folium in jupyter notebook. I made detailed description about different plottings in python (Data visualisation).
Google-stock-prediction-using-lstmIn this model i have prepared a network of 4 lstm layers and i choosed adam optimiser and for each layer i had released a drop out of 20% and the model is trained from the dataset taken from google stock from 2012 to 2016 and the predicted using 2017 january dataset and in this model it cheacks with the last 60 days before prediction and the results are compared by ploting graph with the help of matplotlib.
smile-detector-using-opencvThis is a python code which uses haarcascade files for eye,face and smile detection with the help of opencv we are utilizing these haarcascade files for some face recognization and this calcluations are done on cpu and the input is obtained from the webcam the input video is fragmented into frames and these frames are converted into gray images and calculations are done on these grey images and the result is projected back into video on window with the help of opencv
Machine Learning A-Z™: Hands-On Python In Data Science
Udemy
03/27/2020
Learned the basics of Machine Learning, Internal working of most impactful algorithms and the mindset required to take up Machine Learning projects
SuperDataScience Team
Udemy
04/25/2020
Learned how Neural Networks work behind the scenes. Got in depth understanding of mathematics behind Artificial Neural Networks.
SuperDataScience Team
Udemy
04/04/2020
Learned how to improve faulty Neural Networks, How to improve their efficiency, and learned about opencv, ssd, GAN's and learned how to implement these tech stacks according to application.
Augmented Startups
Yolo
JUL 2020
Learned how to create a more robust and generalized Yolov4 Models to fit the application requirements. Also, how to analyze models.