Work Experience🚀
Amazon, Bangalore
Applied Scientist Intern June, 22 - Nov, 22
Project : Bias mitigation for equitable learning.
- Developed methodologies to mitigate bias in the Alexa NLU model’s performance across different customer groups using continual learning algorithms. These techniques are tested on open-source data for their general applicability in tackling the model bias.
- Worked with Alexa NLU data to create, analyse and deploy deep learning models.
- Developed cross-locale bias mitigation data using data from different locales to mitigate bias in one particular locale using data augmentation techniques.
APHRDI, Bapatla
Data Analytics Intern May, 20 - Jul, 20
Project : Qualitative and Quantitative Research on COVID-19 in India.
- Predicted and Plotted the COVID-19 Data using Machine learning tools using SEIR model.
- Used Machine Learning algorithms to estimate and predict probabilities of various attributes.
Indian Institute of Technology - BHU, Varanasi
Summer Research Intern May, 19 - Jul, 19
Project : Simulation of weighted Cost-Sharing Network Game in Multicast Routing.
- Planned out network for a hypothetical city using Modified Nash Equilibrium and Graph and Network Theory.
- The simulation predicted cost effective methods of network layout.
Last update: 20 Nov 2022.