Being AI enthusiastic, I have solid experience in Machine Learning and working with huge data sets as part of my Post Graduation.
I am proficient in Deep Learning, Convolutional Neural Nets with pretty good hands on Deep Learning Frameworks like TensorFlow and Keras.
My Master’s Thesis is on “Estimation of Oceanic Chlorophyll using Machine Learning Techniques” which is an application of Marine using NASA satellite data.
Designed Random Forest Regression model to predict chlorophyll from ocean waters.
I also worked on Fuzzy C Means clustering for unsupervised Image Segmentation to identify land use and land cover
I am fluent with Support Vector Machines, Neural Networks, Decision trees and Logistic Regression.
Currently working on Energy Efficiency Application on my own inspired by Andrew Ng and Google Data Centre energy efficiency optimization to make my hands dirty on Deep learning.
I have 11 months of work experience as a Software Developer in an E- Commerce firm in an Insurance Domain.
I am good at Mathematics and also Python Data Science programming