EDUCATION Bachelor of Technology (B.Tech), Electronics and Communication
(2016 - 2020)
CGPA : 8.00/10
INTERNSHIPS Summer Intern(ML)
IBM Solution Partner(Smartbridge) (Virtual)
Jul 2019 - Sep 2019
Joined as an intern based on machine learning and also ameliorating skills in order to develop models to solve the challenging problems of the outside world and also learnt many data preprocessing techniques. TRAININGS MongoDB
Oct 2019 - Nov 2019
https://www.coursera.org/account/accomplishments/verify/LNEV724SRD4G?utm_medium Python For Data Science And Machine Learning
Apr 2019 - Jun 2019
It teaches all the algorithms involved in ML.And some projects based on image recognition,NLP,and various important related to algorithms. Machine Learning
Jan 2019 - Apr 2019
It teaches all the basics of ML.And some math behind it and some coding excercises
Detecting Pneumonia using DeepLearning
Nov 2019 - Jan 2020
It detects various pneumonia stages using Tranfer learning VGG16 where it has an kaggle testing accuracy of 99%.
Movie Recommendation system
Oct 2019 - Dec 2019
https://github.com/VAMSI-datascience/Movie-Recommendation This project gives you the suggestions of the movies which you want to watch based on your current viewing system.
Breast Cancer -Malignant or benign Prediction
Aug 2019 - Sep 2019
https://colab.research.google.com/drive/0B6axLGcpSw1lR1VjSnNUbDY3TjFFWmlpNC1oM This was my project in my internship where prediction of Breast cancer is malignant or benign is founded.The dataset used here was extracted from kaggle and used data preprocessing techniques and data wrangling. Using fastai to predict the movie using IMDB dataset Jun 2019 - Jun 2019
it uses a language model merged with wikitext to predict whether the movie is positive or negative and also improved its accuracy. Image segmentation
Mar 2019 - Apr 2019
https://github.com/VAMSI-datascience/Image-Segmentation It takes the pixel value of an image and segments it according to the specific object or living thing etc..and also improving the accuracy of the obtained results.
WORK SAMPLES Other Portfolio Link:
Relating to Machine learning working on an research paper based on neural networks for computer vision in classifying the pneumonia stages using all the models like CNN,ResNet50,ResNet34,fastai,Alexnet etc. Working on an IoT based Aeroponics Research paper in which we can grow plants without the need of the soil in which we use Machine Learning in order to continuously
monitor the plant and trigger the sensors as per the plant required parameters.