Data scientist, data analyst, machine learning expert

•	Natural language processing using cognitive computing 

Kaggle projects (https://github.com/obaidur-rahaman)
			1. Digit recognizer for MNIST data
•	Principle component analysis was applied to reduce the dimensionality
•	A deep neural network was build using keras
•	A Convolutional Neural Network (CNN) was implemented using tensorflow. The net was trained using GPU to obtain a high accuracy
			2. House prices: advanced regression techniques
•	Engineered features based on correlation and k-Means clustering
•	Fitted  regularized regression models (Lasso, Ridge, elastic-net etc) and tree-based non-linear models (random forest, XGBoost etc)
•	Developed a pipeline for stacking the models to improve prediction

Doctor of Philosophy in computational chemistry
•	Optimized force field by a recursive back-propagation learning algorithm
•	Developed a linear model for drug discovery based on atom-pair classification and trained it on a large dataset accumulated by distributed computing system (Docking@Home)

Bachelor of Technology in engineering physics
•	Analyzed experimental data to construct a theoretical model to characterize drug effect on the formation of microtubules