May 2016 – Jul 2016 · 2 mos · Singapore

• Designed statistical Machine Learning Algorithms aimed at feature selection & clustering for finding rare cell types
• Features filtered using Spearman Correlation and Dispersion values; visualized using differential gene analysis
• Formulated novel Machine Learning Approach for identifying & validating doublets of cells in RNA Sequencing Data.

May 2015 – Jul 2015 · 2 mos · New Delhi, India

• Implemented Feature Selection and Classification of EEG Data to detect seizure & pre-seizure epileptic events.
• Designed Forecasting of Epileptic Seizures based on Auto Regressive & Moving Average Models (ARMA).
• Successfully achieved 96.7% sensitivity, 97.5% specificity and mean seizure detection latency of 2 seconds.