Enthusiastic person who loves "Science and Nature"
Interested in Algorithmic Trading, Photonics and Machine Learning projects.
These are some of the skills developed at Academics and Internship.
A journey through timeline of my work and education.
May 2016 - July 2016
Worked with a web-project for a Swedish company, where I got to develop a application on web platform.
Aug 2018 -
Developing an HFT forex trading system using both Machine Learning and fuzzy logic. Report link
August 2017 - Present
Master of Science in Physics, Specialization in Photonics
July 2013 - May 2017
Bachelor of Technology in Electrical Engineering
July 2016 - Nov 2016
Aim to find an optimal model for Indian Climate from 24 CMIP5 Models and compare it to the Indian Meteorological Department (IMD) data.
Implemented Multiple Linear Regression and Multiple Polynomial Regression to fit the model with appropriate degree.
Implemented Feed Forward Neural Network (FFNN) with Backpropagation and using Levenberg Marquardt Algorithm to optimise the model.
Obtained promising results to predict the climate and the error for the temperature and rainfall was very low, with a good correlation.
April 2016 - May 2016
Implemented Eigenfaces' PCA and Fisher's Linear Discriminant Analysis for face recognition and analysed the better performance of Fisher's method with variations in lighting and facial expressions in the image.
Mar 2016 - Apr 2016
Implemented Logistic Regression and Neural Network multi-class classifiers to recognize handwritten digits.
Examined accuracies of the two models as a function of parameters such as regularisation, learning rate, etc.
Jan 2016 - Feb 2016
Implemented Stauffer Grimson Background Subtraction algorithm for segregating foreground moving objects and relatively invarying background from a video by sequentially labelling each pixel in video frames.
Algorithm exploited use of K-means for training and online Gaussian Mixture Models for prediction.
"Dont hesitate to contact".
lgh 82, Spånehusvägen 62I
214 39 SWEDEN